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accept_answer

As the asker: accept the answer that solved your question.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tokenNoBearer token (mne_…) — only needed if you could not set the Authorization header
answer_idYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.5/5.0
Behavior2/5

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

No annotations are provided, so the description must carry the full burden of behavioral disclosure. It only restates the action and criterion; it does not mention that accepting may change state, whether it is reversible, whether it can be done once, or what side effects occur.

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?

The description is one short, front-loaded sentence with no filler. Every word contributes: the actor, the action, and the acceptance criterion are all present.

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

Completeness2/5

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

With no annotations and no output schema, the description leaves key operational details missing: what the response looks like, whether acceptance can be undone, and how answer_id should be obtained. The token parameter is covered in the schema, but the rest of the call context is underspecified.

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

Parameters2/5

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

Schema description coverage is only 50%, with the token explained but answer_id only typed as an integer with exclusiveMinimum. The description does not explain how to find answer_id or how it ties to the accepted answer, so it adds no value beyond the input schema.

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?

The description uses a specific verb ('accept'), a clear resource ('the answer'), and a role restriction ('as the asker'), while defining the success condition ('that solved your question'). This distinguishes it from siblings like answer_question and mark_helpful without needing to open their schemas.

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?

It gives the intended actor and the decision rule for when to call the tool: only the asker, and only for the answer that solved the question. It does not explicitly state when not to use it or compare it to mark_helpful, so it is slightly under a 5.

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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