diff --git a/e2e/playwright/snapshot-tests.spec.ts-snapshots/extrude-on-default-planes-should-be-stable-XY-1-Google-Chrome-linux.png b/e2e/playwright/snapshot-tests.spec.ts-snapshots/extrude-on-default-planes-should-be-stable-XY-1-Google-Chrome-linux.png
index 0a3640c69..5ac634db5 100644
Binary files a/e2e/playwright/snapshot-tests.spec.ts-snapshots/extrude-on-default-planes-should-be-stable-XY-1-Google-Chrome-linux.png and b/e2e/playwright/snapshot-tests.spec.ts-snapshots/extrude-on-default-planes-should-be-stable-XY-1-Google-Chrome-linux.png differ
diff --git a/src/machines/modelingMachine.ts b/src/machines/modelingMachine.ts
index 7aa015923..acfca067e 100644
--- a/src/machines/modelingMachine.ts
+++ b/src/machines/modelingMachine.ts
@@ -551,6 +551,9 @@ export const modelingMachine = setup({
           ? event.data.tool
           : 'none',
     }),
+    'reset selections': assign({
+      selectionRanges: { graphSelections: [], otherSelections: [] },
+    }),
     'enter sketching mode': assign({ currentMode: 'sketching' }),
     'enter modeling mode': assign({ currentMode: 'modeling' }),
     'set sketchMetadata from pathToNode': assign(
@@ -1460,7 +1463,7 @@ export const modelingMachine = setup({
   },
   // end services
 }).createMachine({
-  /** @xstate-layout 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1AIuVhsJIOLpBRxPh04qgQabEmBLVUIsAobYqYb4qSalQybhTK8XCY97An17AahEpGYTozIdZ8IRMLw4Kqp2psKhUiBfiOD-A0oWDMAyyDieD-rf9Epyc4MVZZT1kskDgQoOxjhlTkcK4Ra-iJbWD9iWLDi2xlge5W8+sBN70EBtAjRER1bYxgR9VQk9axaDapaqBrAZaoKnaiigr-82xTgsbEBbbTB7ashHbjhBaLCfdZ5XaYBxbJa1CZBvbPxapbN0xASahUwMwVa7b2aNanbagXbRaE73a1CVBU7rd+FC59xEQTIKJLjWkLBNw1aI7NbnaXzg4iBsASROybCBSxahSAS31pBTblAQpBLra5TzB6dch4QPMsKY66Df4e6+69cfSZt-SrZAyMT8pEjbhe7+6VQd7IyXrEhzBZBvhYYWYRMRxryYNM5HzrpoIgQXaj6N7JbfTJgx07wSBTZ+gTSCzFpyAP7YFjbpYG8LRL1X8HZ761ZkztAchWbUgA537168zTTCyki17+7paIGaYRQ-LWRHBEROR7SPZH4YwF7GdbMcwl6nif5-BcBKUvp3RfBPIAgMAppVpgChpwGGbsDBAOxJBuQjFag1Eir74p14YeLuRtCsYUoyBsAuhhhrY4VmthoKbqNlHVGRgQK2GWkCsgNEplANBcF9CcsOMtw2Q4ZcgVEGGu9dG1Gx0NH+GYCg9-zQ9nH9GcpBBDHz6kYcgL4Mb5h6Iyim7s7+CKI+4kG4ZtanQfH1HKVMoFMdSDZtHyMfHzc-GKxbZAmEBjGOREp6g4weQgQm7Pk5Zk0dLeYVUXBmgWGMB4AohWcCHPxBA4RJAtkahNl2beLexhGjCzARN35Y1AIrA7oZx2nSpQc5Z0KkHdwNDKGFhLoPMsYUFo6njupeoMBXphoWmx9WKRBEp5n2SEoDgBnViOxcaqcgQ0Uu1tmZwJAHpnp9m4AZnwZXT0xzHgVZBAa2UkZ9lFglBdhCD5ZsgxFPnEgKpp0FiRHbs75ex+IzBcheZhkcxxwu6K5TVoWgmIQ+iXYk1n5+iJISncbGhaSu5c1l6cLpNJLsNAsj94s8XWlUg0waz6g4RtwcwHM9xq1bIjIRMEnY7f4OcOsmX8NmNWX19Ut41hlzQb5MEM6PdcwE150jqVTfdUc3tGEFsZWMgl8Z07IqCLi+FTg8DRBDF+5cg5y0d9XBHWLlAUb35EQuKzAtlrbYop0cVs9ah8kP4hbTKAg+TpXHXDjnXmRhQYxbNVARk+rndMgBxLyfZxAuM5ze8w2jmI2MgLRwQa01WmUE3kHbc8wCgVZW0tmszg2lpKlQCUD6lJWlMs2H8nXQTC5-8BtvUvXUgvhijPX7HLnQj5ChSZXgRyhvWTh1dYxryMb01+QYptZ4ph3NTdix3shFhacoJmcZ2Cjrj-gXVqh6H7RsWGCwifSWG9Nk5WWGS0hOM8ExJBJKndKCg8lRxRjSmV3qjaj6i8RDnW2Tax5TAZ1DR7HvWIScw5ZMhaob7dg7Adj7DWXCJrtAjlV-Ym61k1KuZklEw+ZT3f4XiOC3jd5PiKVWXXM0hBkNKE1AiCibBvhLBDXycsgESkTkjUSDZ0SZW29q1cgDgs8skE2UVqmgqVVvZkp8OJASyNTwib2uR8J9gV8zQnaIpexBLIQ+Ox5Z0AJPSczvSv6t6x1dTuAki7hDTSQ5Or729shlPqhVOShOKOFWRYm2w0EZBdPLSZPN7tSx0IyeJIKDsORJAbOzRycEzSWjBkzo2oJ-KMyPPczqj8yzSizpO3Qb3+P+DWR9I+5E01YNA3lbA7A0ZtxA3aWhV+7uzYBeyZWiqtxjAhCFjhRg6bbld2X35aggRn9NWdbZ4OcgKAhPywK0vw26V22fZzARMhKRqkKy2NlaIMwzAoQQlJO+vQq6LiLw1-2AvO5jABQOwCCroxHtLDWqI8xPKZ2MgiapkGXnKZXdun19uBMfgjvDwOw8221RilV4wrvyrmr5k7vnTHuiqtE6hh58vFuwmejyGfvqEbv5lFlqqAe9uNBqPYS+56pIZsjqHovxuYf44KrnKEflkkeHuUfzui4IvWkBL-lYylYHBIWVvcKzqyU91GE7uFBC5lU8xDowXIpgn5Z9q9w7Aoo8eHq915F2fND7jueumfZ747s5ZYwan6IptGe3zQqwbpVcRZVAwSfTXUeKfDwwNiGcO4MrW8eaarUsB2fmRDrahrQFBgUE34xKOCD6g7JlgS79bJab3dh8qBCN0G6RC2YoM27C6tb0Hj7R2Rvww7JJB07GY4GFA+R9h8IW6NKBC7ORWV6JBcHP7FDDOoAT6nk8ByPDlIQfhE-dvk-exH7zBn6RE0HJO8-NTC-iz-7sB+gy-qgK-dgTtq-rypS0+G-UG37m+wHEusHAwiyW-u-UtK-+-QdrzPgn7k1G+QSxFmHWHpowBWXBBeYOEfVVALxRIkL929V67Ym-ZSuniknXHKVNHd+Y-PwMwKgj2iqREYxqhpG9IIJx2UfoY2fCQHfyL5wpUmK8dJuTFZajgVcz3YwLIH9hQ4BizePmtUFWD0oGmTgIAA */
+  /** @xstate-layout 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-OQABZa15TBlJHIW9QyYSZTm2YHGgyIbJqdJSBQZhTCFSKHIOjxOl1uz3euWwf3sINURSRGmxMMJIRldPWKqKVnLOog5Ng2OmbnQnNiOTaDkFq5QZ2u90ex4k3oYEM6xszIQj6zpcHD+FqXOnUGCtI7UTaeYFLJiCdo6clgBKYEJqEwxOXDfpTaSI4tv3y8xtKgKDIh7CmkuxqDsEFSHY1TXkWM4EAAYtgmBuk89DjCuH5rl+bISHuyw0MYbLwgUh4qOY6Q5FkMh5masHNJK8ElnOLAkuhdbau+0z8OuqiQooI42OCNT2D2JSOPUlpaKOiI2Boihwfgt7usgJD+m+dI8bMI6SD8Nqsr8ojcsBvaCYCFSqFYRE-PIqhKVOxbugAIsEIxqm6GrhBhLxYdpfFfEo8JyMYtGchYh5qFJKjWBBIWIjQwIQQ5KkEAAKmAjyCOwqCCEQACCzmabqOEGvxCjaIoNQUTIMWHrVCxaIm9SGhRimMY6ylORIgYumAAAK5K4HABD5ex2AAGYkKE-hQEqTCBv4LBML05IjBAxWrrxSTGRUNpZIBFj5Nkh42ZCqQKDCuSxrYKXdbAgaoAA7oNZAjWNnBTTNc0kAt-hgF0TCcJAm3YdtBraOkI4xXIGRtnC4mIHmnIVBYUXAvDbJNBchbKd4lZBsQZCUJg+MBsGPn1lp4aZFkkK0eIOZiSkuhmTQ+TSPtPxNTkbYpWTVaBgQrloWAarYjKoP+Qg4ESFkWhHOCbbWLDoL8SsdTzKkshRXI-ME0LdwYP9EAcP4EC9CS7R+uTUs044zJWDy7MhWYo6grIFrQTQsUaEsgJ7vr5MSALQYAJIIWp-rizieL+MS43kCQmB25+0J5t8NnO6cwJZPVgly7FbYOFCChB4LIcGxHJZR2LQQS3Hj1WwAXvcyepzhmRRdINjWFVgJtrGh5918KvRkr0HqGo5dBpX5PV+6RDcLA7BKng-hN9grd4sn5vYCvxOjJTXHU2nl6LHUHJKNBShtqCBSsumgE7IzuxyFeHW41OoeBnPgsL8QZeq8SDrwTpwJOmA94HwoEfTioYwaJC7gsZQw4NAHE7PfQUixci5jioCbGKIv5-1nj-ABS9cArzXrgfw+UABC3h-AAA0O7bWhERCosY6JLGhCke+wpHYNBhCJGMUgZ6-1IQhchlCQHULoQwgAmiwxBmRmSAhHHCFI3IkwlF9gsfS2ZESxjNAQpieMDbEMDGQoBVD-BkCgG6JRSNHDlFEKoGMwJ5jZCKL2Ww7N8IZlvjsXBFExEWKsRQ4B683T4HYBTOBfl7ZSXqMCa0+RETLHvr8PR2huxmAKLRFQoSJElikZE6hTBSQVNwKbcgq0SBylNtAygjiECZHUFRIul5BQUXvhkVR6gqrVD7tBawRSq6SOsTIjeqAW5t1QvoWxOAoC4BaZkaCct8iJXcbkciKMfa7HyDYfkojP6TgsWEiZESbFgOwBAzACzk7YGWas2mFRDQBOMEsTYZlfhyAEgcU4SwaD0TGfPS50j16wFwL9fwOUmEvNqt8DMuY2TcJsKzCSe4vhRXUA4OS8NQX-3BWUwI0KmCwtQP4RRx94HS2hIi32TJ2ZAlZN8nRaNFiw1qOIGEwpp6nJvD-C5JTJnrzAAAR16LvaJUBYkvJhOkM0Zp5iDkAioQ8VhNyCSirVOoNQrD8pxmcoVxTF6ivKfU5OboU40oSWnXl2CfZthHByS+IF2k52ojaMwXJCXh2JTYkkANUDEluOa9gVJbXcRpkRNMshRA5isOYX4h5UXpEBIJXY9h9onKNYK8xpqCAPkEJlEIvQRirNEnLDIo56h1GRt4koWKL6pH2MsWQMVDWEONQW8ZJYjZi0gGbC2Vt8A20Fi84w6QiKqFhtVHkiMED-GkKICwySshoz9ZYy5YCKXx3qdgEgAAjBxUbT6d2UIFHFPIgraEbdsLuEgYSkR+CrWKW6AFBjsWLHKz4WkFBCvhRw2RbD7A0GyU6FFpD7FzG2DsawTGdW-uY-KT0QEBE3tvIYkDGlDBgf4PAE1UAEAgNwMAzpcBPn9BIGA7BBCYbmYIQjqB-15kkMIOEDh5haAzIoe+NgfybPUcYethSBVOiFah9D0zZk7xw-vPDlACO4CIwQUkJIZkSCYGtIjJIug0b8PRmZW9GPMdY22em8wOxAjEJyWq98lhfBCtoWqUUHDcj1uJsxwcpNmxuRAqBimxbMZI2RijVHyO0cEP55OTGVMsbPSVbaI8vgxhhJyGtzLtGIGGexiwNoOP2B5J5vNEmUNob86ScBu9cOH2U6p9TmntPDF0-pqLMXMBxaI6xxFPsIIcZFGydVPiYRXptO4-hshQm+YCHIph9XiOkeGuF1A1GovHtgIIPgXWEvxOjZ+EefztA8hUcC5+wg+FWBXbUWzwLSKjK88hnzFXZv0PmyFxrJItM6ZmW1wzG2ts7Z62kOoqgOR7ny44PheyAlZh9qNkr3b83Pek3N+RC3QvLbwBFgzdGAf6CB4lraiRDumFHDGGGTJ8j31qGmAo19bP-htIj0xT2K4zZoW99HH2SQaa+819grXceCHx4Tvb57ktVTSJGUDsYRI7N7PYOo6Qzy1BviFYw02Xu2PwG6DHS3yPY9W5F-7uuwBi8wvtnCI8wKFDsKeaC2XSjczeayHY79hIMVK959n2u7F6553z77LXfvC-9+bszROEE5aqmmYEc6cxwgUNye+uY0gjP-NBWSVUtfSZlbE-XYWjdrcM-nwMFvfJW8lzGN5q7ebmBu5klIKuci2fRiolnSHzkc7Lxjz7wfBeh6i2XivVMksk6qn8mw+r63xouz4sw5QajKF8WyZQwLc9mwqSSKpNS6kNIU3VkLBuVsl7o9v3ftz9+CFqzA0fJ9x85fZuUTkHZ5LZBHFYXpKsn3BQcNZ4ETfAIC-XEPfckA-JpYLeLNTXnJrH7PTYXEA6pK-cAm-Q-O-SPcXR-UoZ-J9JQCCWKD-EKUyHRDjNMWmOEaEWnB7b3NnWeAAGTwB-VQGfAIC-XwGYL-Sj2lmqHmAqFODfnEBwUBA9j7khESnB0qnBB9lCUYOGgpWfAkDDlwA4AIH-XEDSCIj7jbAolzAVxKHqE3DV0vSdgyxoKRzK2DjkM4MwCUJUPYDUNrEtwlxJyImZA0I5B+Cqn1QxSMC0C3GBUHhhjslkKYIUNsIADlKV+pUA8AI1RoIAIBBh6lgDYi8R-1AQl8DgfYGZbRahQRRRFgKI1ctk9wy5HtzlrDwiJAoj-AYi4jYAiYYEbUsDickYOMFhW8NB8tAJfg+NexRBR4chKdMgchxQKihVlDVCWlZA-k4QIIqDBwfZ58JIqoBQ1cE1P8xRQkpiHCaxWjo8l08JoQvDYpr49wVinEIJTArpPFeDlhzDWdzk0pv08RD1IF6lyAKU2DAxv1wiWlao+CYJUgOMZJhRQR61vhs0UhwRExoJQlehqlKUD52If58RcBMdDdKNjcJB8pvA0pBBETSNBAUT2A0SVluDwxxtFVfhe5klqgqoPYlB0hRwN0c4s9EMiEhUHxQhw9wifi-jf0WjnDsClh+JbBQNshr56VQQMZM58kFBdFOSe1g4eS8N7EbDcSXtrYgg7hqkw0SRhoSQkI8B95Fog1eSzcATrN00aIKJVBBQ1Zlc1kdhYpp83dQk1S+ShStT0NrZjMoA8AEikiLT1S9cAy8BrT35OZxB347BZBaIISfZoNRJhRtCUhHiu9uSQgwzNTkIVCHpIB-AvSzc1DKS041VIQuRjBAQMhNEPYeRp1qg4YVZoIOxQkiAZQfQSyNT+T2CYB-jyycIaBQQaAOyuy5Qey9cfSZtrY7hDTSQTSCzFpKAyx-BQzw8WkRzewxyJjzFOy1ypzNTZyx0IyMT8pEjbgJz1ycy+SzytzRzxzDzbyzdqj8yzSiyDzZRiyXyNSyyDjpZtyShdzaDzlyA3QyBAg1p3RVlqhJB8hXULp+5UhToFU2RhCzQpd9ggCw1KMqs91CQD1j0SwT9i8Tc6M9SwFspcpCKrZiKI94t1Dah6Zcx4d7AcVfCEBaJER8IxiKIst2y9yUczZKL8K4VaLD0T13R+8BchcotRL2JqLosiKpL79aVww+5oRp08w0FOMitQRhIfweRXSIJaIgQxNQLJNtc9SIVqEg0ehQ0bKyl4jSLsTqNiSnKqFBB7KQ1zdPKZEOIRS2icDu5Yw4RzBgMdh6hU0LN1BAQlBAIsVUgcL-L14GM5N7lMTT9yMPLzUjNZNsN7lzNNwhMOMPclcnc8xgUoTTh4xUwcxMyuTytpNUrqEOtMrXKcdcqrkZFosqtbkrV9Aes9hBJhRYYwqUKzIoQn0+jeC+5cgbAUrzUZMTMMqHklkMTOqcTurbL8rVrCqCdHlnkhzJcqpFUOQc5ch3ldkFhCsMw+4B5LwlqerQF+q7l1qnlNqi83KcrcpWq+rE5BqRcNqmL2NYZYY4LxBaoSCkZdh3DExNAKJlgzRnrbLSUYU4VGEsqyKJAdqykSSyUlK+BzMvZ9gBMMyDVIoa9hRHBzwYxO8mrhKAhWr0byU4V5Fsafrca-q8qoVfolKhqTqJ8f8bNErBIBCndEQlg5ZbNfksh+txBUaSUJUpVIEy9OauqeaXrcAS1JVYsy9WMzreVIIs8uVhsJIwrpBRxPh04qglabEmBLVUIsANbtqtbdrHalRnbhTK8XCY97An17AahEpGYTozIdZ8IRMLwdKqp2pLL9zfiOD-A0oWDMB-ygrDjIwBRdxyc4MVZZT1kskDgQoOxjhlTkcK4iBE6ByU7WD9iM6eDtYe5W8+sBN70EBtAjRERi7YxgR9UOzq6xZa606qBrAAKNK+6iiFr-82xThzbEBO7TBu6she7jg46LCfdZ4q6-jh61CZBx7PxapbN0xASahUwMwC6u6Q6S6+7agB6d7U61CVAD7rd+FC59xEQTIKJLjWkLBNwi6V7S7+6hLK7B7k7H6qAxAX7togLEAQKN66Df4iBsASRwKbCBSk6hSAS31pA2wlBxr4r265TzB6dch4QPMLKEHzlkHUHpzU7fTJhTyrZAzzzLzyAUG0GVRmHIyhbEBzBZBvhYYWYRMRxOKYNM5+LrpoIgQOyOG6HFCTyoBiySBTZ+glyzTbg5HYEG6qTEoLRL1X8HZRG1ZkztAcgg7UgA5ZHaG8zTTCykiaG0H07fbsDBIcgZrWRHBEROR7SPZH4YxyHGdbMcxKGnif5-BcBKUvp3RfBPIAgMAppVpgChptGXHgrBAOxJBuQjFag1EHr74p14YoruRtCsYUoyBsAuhhhrY4VmthpXbqMKmqmRglLomWkCsgM9HRw9xMmYbSgOMtw2Q4ZcgVFQmu8mnqmx1amUmYCg9ZLQ8JmWmcpBA2neHWl3GdChHgUELAIf6z7+CKI+4zG4Zy6nRFmanKVMoFMdSDYGnyNFnzdlmKxbY1mOmOREp6g4weQgQf7Pk5Zk0qreYVUXBmhImMB4AohWcdHPxBA4RJAtkahNkQ7orewDQzRvhdKgJBwzA7oZxoXSpQc5ZTKzHdwNC-GFhLov6BN30KjupeoMBXphoIWx90nTwiX2SEoDgUXViOwraqcgQ0Uu0nj7pHoXoUnmWH90nXT0wNBzAlV5a2UkZ9lFglBdhCD5ZsgxF8XwZ8jUWfgFg0FWQp4IctAP08W0nDi8wIQ+iXYk1n5+iJIPmrbGhaSu5c0qGrLpN0rsNAsj94ttXEFUg0waz6g4RtwcwHM9xq1bIjIRNTnN7f4OcOtfX8NmMA2kY4RUt41hlzQb5MFj6PdcwE150GaVTfdUc3tGEFt03WkMgl8Z07IqCLi+FTg8DRBDF+5cgcK0dq2LW6U1goZEQIqzAtl27Yop0cVs9ah8kP546maddey02+2aY+kUz61VARk+nbBMgBx2KfZxAuMcLe8l2WXLWMgLRwQa0i2mUt3chbcrWANW116wnmqt9KlQCUD6kU2lMT3JXLXQTC5-8BtvUx3UgvhijR2RmuXQj5ChSa3S7yhx2Th1dYxOLAI5jijckFBYMYPNTdj4PWRNwkOoJmdUOCjrj-gXVqgQn7QQGGCwifTIm9Nk4a2GS0hOM8ExJBJfnqqCg8lRxRjPncPqjaj6i8QJX1KDsx5TAZ1DQRnx2IScw5ZMhaohHdg7Adj7Ca3CJrtAjlV-Yf61kSquZklEw+Y6Pf4XiOC3jd5PiKUa3XM0hBkyqE1AiCibBvhLA63ycsgESkTkjUSDZ0T4O29q1cgDgs8sk+mUV-mFqVVvZkoLOJAjzwjWOuR8J9gV8zQ+6Ipex4rIRwvLx5gyjGqy3Z4UuZztSx1dTuAkj5yjS0uBH29shsvqhcuShwqOFCPS6WVEu52K4Kv6HFGuGnk8BWOORJAWuzRycEyHWjBkzhRUzZqMzPTfz5HbD3z7GfzLSNTxu-EDVVA8lnEf7um3lbA7A0ZtxZ2PX9zrzBvnwa3BAbRQQMnEVjX+RjEhOkuvzuy1vjyqulH6vSQa3YGuKxIMvEqjmlYdgnzvz7vbDhuzyQeDK7A-l9JhQSmchZJYffudv1uJBNvAxPy7u-vkfFdvwIer4b4IJruX3g40HILYBoL4OHqtxjAhCFjhR56O7lcg335aggRn9S2K7Z4OcFKAhxKVK3R4OAOfZzARMEqkaDKrWNlaIMwzAoQQkkuxflqfLHLw0JO7VO5jABQOwCCrpsnKq62qI8xxrUOMh7aplvXBqZfnSzeBMfhLfDwOwL221RilV4xHfXrAb5lXfTeTgHqtE6hh4NBTB4y7tdCfGg-qFnf5lFlPqw+n0zeXPYS+56pIZsiAnFuDhbptfrLlr2qPrllM+m2c+i45vWk4r-lYylYHBNWy+Wrlq+a2bKVGEZeFBC5lU8xDo1XIp3H5Zaa9w7Aopk-Wa915F+-ND7jh+4WfZ747s5ZYwAX6IpsO+RLlqVbpVcRZVAwa-s+7f6-DwwMPHTO4N23Z-ParUsB+-mR6bahrQFBgU+n4wnOCD6g7Jlg99JOsPVY67BbqAhDdF-REJswoMADG+mXWsacM4Oy7Q+rDEkBH1GYRjBQHyH2D4QLA8gQ5koHsBIhvuWjaooj24Y8RJOOEeiKln1YnYTe2A3sOI3MCSMREVjUgTY3IEA9lGqjQ3lXlNCHJIQ9AuXKDk4pSk8BbAyxjI04FID6GhPT8lowc5CCMBDAsQR7CuysDk07AkEmIgiZRNpoYAR7rzA4Q+pVAF4USAZQo56pP6RzP2LT3GYqFmmFzJaCk205-IRI4IUbGBxEgFM9IEEYEFPFByAhymTgyZkozhRXMV4NzcmDW1HAq5PexgWQP7ChwDFm80daoKsHpQgsnAQAA */
   id: 'Modeling',
 
   context: ({ input }) => ({
@@ -2112,7 +2115,7 @@ export const modelingMachine = setup({
             },
           ],
 
-          entry: 'assign tool in context',
+          entry: ['assign tool in context', 'reset selections'],
         },
         'Circle tool': {
           on: {