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Open Board

open_board

ALWAYS call this first when given a board URL or ID. Resolves the canonical board id and auto-creates the board row if it does not exist yet. Returns a summary (item counts, authors). After this, call BOTH get_preview and get_board before editing so you can see the layout visually AND know the exact ids/coordinates — do not skip get_preview, otherwise you will place new items blindly on top of existing ones.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
url_or_idYesFull board URL (https://cnvs.app/#<id>) or bare UUID.
access_keyNo8-character lowercase alphanumeric board access key when the board is locked (legacy 6-character lowercase alphanumeric keys are also accepted). Equivalent to setting the `X-Board-Key` HTTP header on the JSON-RPC POST. Omit for unlocked boards. Obtain via POST /api/boards/<id>/lock.

TDQS

A4.3/5.0
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations declare readOnlyHint: false and destructiveHint: false, and the description meaningfully enriches this by disclosing the exact side effect: 'auto-creates the board row if it does not exist yet' — precisely the kind of creation behavior the agent needs to know, since an 'open' operation mutating state is non-obvious. It also truthfully reports the return summary contents. Minor deduction for not covering access_key auth implications or rate limits, but no contradiction with the annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Front-loaded with the critical imperative ('ALWAYS call this first') and flows logically from when to call, to what it does, to what it returns, to what to do next. The structure mirrors an ideal mental model: trigger condition → behavior → return value → follow-up steps with rationale. Minor deduction for the density of the warning about get_preview, though it earns its place.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a tool with only 2 parameters, full schema coverage, and no output schema, the description covers the essentials: entry condition, side-effect disclosure, return-value summary, and next steps. The brief 'Returns a summary (item counts, authors)' is the main gap — given there's no output schema, more detail on the return structure (e.g., an example) would make this complete enough to push toward 5.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, with both parameters (url_or_id and access_key) fully documented inline, including a URL format example. The schema carries the param-documentation burden, so the baseline of 3 applies. The description adds workflow context but no parameter semantics beyond what the schema already provides.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

Specific verb+resource: 'Resolves the canonical board id and auto-creates the board row if it does not exist yet' clearly states what the tool does. It distinguishes itself from siblings by establishing that it must be called first ('ALWAYS call this first when given a board URL or ID'), separating it from get_board and get_preview which it explicitly positions as follow-up calls.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Exceptionally explicit usage guidance: 'ALWAYS call this first' establishes when to use it, and the description goes further by prescribing the exact follow-up sequence ('call BOTH get_preview and get_board before editing') with a concrete consequence for non-compliance ('otherwise you will place new items blindly on top of existing ones'). This gives the agent unambiguous decision-making information about the orchestration workflow.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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TDQS

A4.1/5.0
Disambiguation5/5

Each tool targets a distinct resource and action: canvas items (text, image, stroke, link), kanban elements (tasks, columns, lanes), and board-level operations (create, open, preview). Even the two move tools are clearly separated: move for board items and move_task for kanban cards. Descriptions explicitly disambiguate potential overlaps (e.g., add_link vs add_text).

Naming Consistency4/5

Tool names overwhelmingly follow a verb_noun snake_case pattern (add_image, create_column, delete_task, update_task). Minor deviations: 'erase' and 'move' are single-word verbs lacking an explicit object, and 'move' could be confused with 'move_task' without descriptions. Overall the pattern is highly predictable.

Tool Count4/5

25 tools is at the high end but justified by the dual-mode scope (freeform whiteboard and kanban board). Each cluster has a coherent set covering create, read, update, delete, and specialized operations (bulk creation, export, querying, waiting for updates). Slightly heavy but well-scoped.

Completeness4/5

Core workflows for both whiteboard and kanban are covered: CRUD for text, images, tasks, columns, plus preview, export, bulk creation, and filtering. Minor gaps exist: no board rename/delete, no image resize after creation, and no bulk erase, but these can be worked around.