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TERM

submit_feedback

Submit a public product bug or feature request. No karma; five submissions per rolling day. Never include secrets. Returns a reviewable receipt.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
bodyYes
kindYes
titleYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.8/5.0
Behavior4/5

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

With no annotations present, the description carries the load and does disclose real behavioral traits: no karma cost, a 5-per-rolling-day rate limit, a secrets prohibition, public visibility, and that a reviewable receipt is returned. It omits auth/prerequisites and what review entails, but the safety and quota disclosures are genuinely useful context.

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 short, front-loaded sentences with zero filler: action, cost/quota, safety caveat, and return value. Every clause earns its place and the most decision-relevant constraint (quota) appears early.

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 three-parameter write tool with no annotations and no output schema, the description covers action, visibility, quota, safety, and return type. It would be fully complete with a note on prerequisites/auth and whether submissions are moderated before becoming public.

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 0%, so the description must compensate. It effectively enumerates the 'kind' enum values ('bug or feature') but says nothing about the title (120-char cap) or body (4000-char cap, 1-char minimum) semantics, leaving half the parameters documented only by raw schema constraints.

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

Purpose4/5

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

States a specific verb+resource ('Submit a public product bug or feature request') and specifies the artifact type and its public nature. However, it does not differentiate itself from near-siblings like file_report or submit_submission, which an agent could easily confuse for this action.

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?

Implied usage is clear (use this to file product feedback), and it adds a quota ('five submissions per rolling day') that shapes when it is worth invoking. But there is no explicit when-to-use-vs-alternatives guidance against file_report, create_post, or submit_submission, so routing remains inferential.

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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