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get_board_prompt

Fetch the board-level agent prompt — the markdown instructions an agent should follow when operating on this board. Read this into your context before working a board. Returns the content of the board's root file ("AGENTS.md"); null when no prompt is set.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
board_idYesBoard ID to read the prompt for.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.3/5.0
Behavior4/5

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

With no annotations provided, the description carries the burden and does disclose the key behavioral traits: the read targets the root file 'AGENTS.md' and returns null when no prompt is set. It does not discuss permissions or auth, but for a read-only fetch the return/empty-case behavior is the material disclosure.

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

Conciseness5/5

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

Three tight sentences: purpose first, then when to use it, then return semantics including the null case. No filler or redundancy.

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?

No output schema exists, and the description compensates by explaining exactly what the return value contains and the null edge case. Nothing an agent needs to call and interpret this tool correctly is missing.

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% and the single board_id parameter is already documented as 'Board ID to read the prompt for.' The description adds no syntax or constraint detail beyond that, so the baseline 3 is appropriate.

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 ('Fetch the board-level agent prompt') and disambiguates by naming exactly what is returned: the board's root file 'AGENTS.md'. An agent can distinguish this from sibling readers like get_project_context or list_board_files without opening the schema.

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

Usage Guidelines4/5

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

Explicitly says when to use it ('Read this into your context before working a board'), giving clear situational context. It stops short of naming alternatives or exclusions (e.g. project-level prompt vs board-level), so it is clear but not fully routing.

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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