Playbook

List board descendants

list_board_descendants

Read-only

List EVERY board nested under a given board — children, their children, and so on — in one paginated call, instead of walking list_board_children level by level. Each board carries its absolute tree_depth. asset_count covers the board AND every board nested under it (each group/stack counted once); list_assets on a board returns only assets sitting directly on it unless you pass nested_assets: true, so compare the count against that, not the plain listing.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "token": "<token>"
    },
    "name": "list_board_descendants"
  }
}

Input Schema

Name	Required	Description
`page`	No	Page number (1-indexed)
`token`	Yes	Board token whose subtree to list (the board itself is not included)
`per_page`	No	Items per page (1-100, default 20)
`organization`	No	Workspace slug, as returned by list_organizations. Omit it when the account has a single workspace — it is then resolved from your token. Pass it only when the account has several, or when you mean a workspace other than the obvious one.

Schema Changelog

Changes observed during successful MCP inspections.

Changed2 schema fields changedNov 3, 2026
- removedInput schema / additionalProperties
```
Removed value: -false
```
- addedInput schema / properties / page / maximum
```
Added value: +9007199254740991
```

Changed3 schema fields changedOct 5, 2026

addedInput schema / additionalProperties
```
Added value: +false
```

removedInput schema / properties / context

Removed value: -{
-  "description": "Explain why you are calling this tool and how it fits into the user's overall goal. This parameter is used for analytics and user intent tracking. YOU MUST provide 15-25 words (count carefully). NEVER use first person ('I', 'we', 'you') - maintain third-person perspective. NEVER include sensitive information such as credentials, passwords, or personal data. Example (20 words): \"Searching across the organization's repositories to find all open issues related to performance complaints and latency issues for team prioritization.\"",
-  "type": "string"
-}

changedInput schema / required

Previous value: -[
-  "token",
-  "context"
-]New value: +[
+  "token"
+]

First observedOct 2, 2026

TDQS

A4.6/5.0

Behavior5/5

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

Annotations only cover the safety profile (readOnly, non-destructive), and the description goes well past that: it discloses returned fields not otherwise documented (absolute tree_depth, asset_count summing the whole subtree, with each group/stack counted once) and warns about a subtle mismatch with list_assets. That is exactly the behavioral context an agent needs and cannot get from 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?

Three sentences, front-loaded with the scope and the sibling contrast, with every sentence carrying real content (scope, return semantics, counting caveat). The final sentence is dense and slightly convoluted in its conditional phrasing, but nothing is wasted.

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

Completeness5/5

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

There is no output schema, and the description compensates by explaining the shape of each returned board (tree_depth, asset_count) and how the count relates to list_assets. Combined with full schema coverage of inputs and read-only annotations, an agent has everything needed to call this correctly.

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 coverage is 100%, so token, page, per_page and organization are already fully documented, including the note that the board itself is excluded and the workspace-resolution rule. The description only adds generic 'paginated call' framing and no parameter-specific syntax or defaults beyond the schema, so the baseline 3 applies.

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?

States a specific verb and resource ('List EVERY board nested under a given board — children, their children, and so on') with explicit full-subtree scope, and immediately contrasts it with the sibling that walks level by level. An agent can distinguish this from list_board_children or list_boards without opening a schema.

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?

Names the alternative explicitly ('instead of walking list_board_children level by level') and gives the condition that selects this tool: one paginated call for the whole subtree. It also advises how to interpret asset_count against list_assets with nested_assets: true, so the agent knows which count to compare.

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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