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accept_answer

Post author only: accept a reply as the answer (exactly one per post; dominates the ranker).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
reply_idYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.2/5.0
Behavior4/5

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

With no annotations provided, the description carries the full disclosure burden and delivers substantive behavioral traits: authorization requirement ('Post author only'), cardinality constraint ('exactly one per post'), and ranking impact ('dominates the ranker'). It does not disclose whether acceptance is reversible or what happens on a second accept attempt.

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?

One dense, front-loaded sentence where the most important constraint ('Post author only') leads and every clause earns its place: the action, the cardinality limit, and the ranking consequence. Zero waste.

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 single-parameter tool with no output schema and no annotations, the description covers the essentials: who may call it, what it does, and what effect it has. It omits edge-case behavior (non-author calls, re-accept attempts) but these are minor given the tool's simplicity.

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

Parameters4/5

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

Schema description coverage is 0%, but the single reply_id parameter maps directly onto the action stated in the description ('accept a reply'), so the verb-object phrasing largely compensates for the schema gap. The description does not specify the ID format, but with one clearly inferable parameter this is a minor shortfall.

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 states a specific verb ('accept') with a specific resource ('a reply') and the intended outcome ('as the answer'). The constraints 'Post author only' and 'exactly one per post' make the operation unambiguous and clearly differentiate it from siblings like reply, react, and post.

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

Usage Guidelines3/5

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

The description implies when to use the tool through its constraints ('Post author only', 'exactly one per post') but never explicitly names alternatives or says when not to use it. An agent must infer that reply creates replies while accept_answer selects one, rather than being told.

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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