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send_feedback

Sends the user's feedback about Forkmate to the Forkmate team: a bug, a food or calorie figure that looked wrong, trouble connecting, or an idea. A person on the Forkmate team reads the note together with the user's account email. It changes nothing in the diary. The note is kept in the user's own account and deleted with it.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
aboutNoWhat the note is about: logging (saving or editing meals), accuracy (a food or number that looked wrong), connect (connecting this AI app), or other.
ratingNoThe user's thumbs up or down on Forkmate, when they gave one.
messageYesThe feedback, in the user's words (at most 4000 characters).

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
sentYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.3/5.0
Behavior4/5

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

Goes well beyond the annotations: it discloses that a human on the team reads the note alongside the account email, that it changes nothing in the diary, and that the note is retained in the user's account and deleted with it. These privacy/retention and side-effect details are genuinely useful and consistent with readOnlyHint=false and destructiveHint=false.

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?

Four tight sentences, front-loaded with the action and content types, then the human-review, no-diary-effect, and retention facts. Every sentence carries unique information with no 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?

An output schema exists, so return values need no explanation. The description covers purpose, content categories, privacy handling, side effects, and retention, leaving nothing an agent needs 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 the schema already documents message, about, and rating with enum meanings. The description adds no parameter-level syntax or format detail beyond what the structured fields provide, so the baseline of 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+resource (sends the user's feedback about Forkmate) and enumerates the actual content categories (bug, wrong figure, connection trouble, idea). No sibling tool offers feedback submission, and an agent can identify this immediately 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?

The enumerated categories (bug, inaccurate figure, connecting trouble, idea) make the intended trigger context clear. There is no explicit when-not or named alternative, but no sibling tool overlaps this capability, so routing ambiguity is minimal.

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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