Previous value: -"What this workbook's runs are, from now on. `harnessroom` (a new workbook's default): the instruction is a request, and a harness researches and writes the document. `latticeroom`: the instruction is a draft someone already wrote, whole — markdown, its links kept — which comes back exactly as written, with the run's inference beside it (read_workbook's `inference`: each claim cited, self-reported, secondary only, contradicted or with no source, and its sources); attach data files (.json, .csv, .tsv) to settle the draft's own figures. `graphroom`: runs perform the procedure drawn for the workbook in the app, and refuse until one is drawn. Omit to keep the workbook's current mode."New value: +"What this workbook's runs are, from now on. `harnessroom` (a new workbook's default): the instruction is a request, and a harness researches and writes the document. `latticeroom`: the instruction is a draft someone already wrote, whole — markdown, its links kept — which comes back exactly as written, with the run's inference beside it (read_workbook's `inference`: each claim cited, self-reported, secondary only, contradicted or with no source, and its sources); each entry under its References or Bibliography heading is looked up in Crossref and on the web and marked found, found with other authors or year, or not found, and a sentence citing it — [3], (Smith et al., 2020) — is read against the work found; attach data files (.json, .csv, .tsv) to settle the draft's own figures. `graphroom`: runs perform the procedure drawn for the workbook in the app, and refuse until one is drawn. Omit to keep the workbook's current mode."

Previous value: -"What should change, in one sentence — or, in `ground` mode, the whole draft to ground."New value: +"What should change, in one sentence — or, for a latticeroom, the whole draft to ground."

Previous value: -"What this workbook's runs do, from now on. `research` (a new workbook's default): the instruction is a request, and the run finds sources and writes the document. `ground`: the instruction is a draft someone already wrote, whole — markdown, its links kept — and the run leaves every word as written and marks each claim cited (with the passage quoted), self-reported, secondary only, contradicted or with no source. Link data files on the account's drive (/dropbox/...json, .csv) in the draft to settle its own figures. Omit to keep the workbook's current mode."New value: +"What this workbook's runs are, from now on. `harnessroom` (a new workbook's default): the instruction is a request, and a harness researches and writes the document. `latticeroom`: the instruction is a draft someone already wrote, whole — markdown, its links kept — which comes back exactly as written, with the run's inference beside it (read_workbook's `inference`: each claim cited, self-reported, secondary only, contradicted or with no source, and its sources); attach data files (.json, .csv, .tsv) to settle the draft's own figures. `graphroom`: runs perform the procedure drawn for the workbook in the app, and refuse until one is drawn. Omit to keep the workbook's current mode."

Previous value: -[
-  "research",
-  "ground"
-]New value: +[
+  "harnessroom",
+  "latticeroom",
+  "graphroom"
+]

Previous value: -"What should change, in one sentence."New value: +"What should change, in one sentence — or, in `ground` mode, the whole draft to ground."

Added value: +{
+  "description": "What this workbook's runs do, from now on. `research` (a new workbook's default): the instruction is a request, and the run finds sources and writes the document. `ground`: the instruction is a draft someone already wrote, whole — markdown, its links kept — and the run leaves every word as written and marks each claim cited (with the passage quoted), self-reported, secondary only, contradicted or with no source. Link data files on the account's drive (/dropbox/...json, .csv) in the draft to settle its own figures. Omit to keep the workbook's current mode.",
+  "enum": [
+    "research",
+    "ground"
+  ],
+  "type": "string"
+}

Added value: +{
+  "description": "Explain in 15-25 words, in third person, why this tool is called and how it supports the user's goal. For analytics only. You MUST describe only the abstract purpose of the tool call. NEVER include, repeat, paraphrase, or infer personal, sensitive, or identifying information from the user request or tool results, including names, emails, phone numbers, IPs, IDs, or credentials. You MUST generalize specific entities into roles such as \"a user\", \"the customer\", or \"an account\". Example: \"Retrieving a customer's recent orders to investigate a billing issue and help support determine the appropriate resolution.\"",
+  "type": "string"
+}

Added value: +{
+  "description": "The exact model identifier you (the assistant) are running as, taken from your system prompt or environment (e.g. \"claude-opus-4-8\", \"gpt-5.2\"). Used for analytics only. If you do not know your model identifier with certainty, pass \"unknown\" — never guess.",
+  "type": "string"
+}