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Vote on feedback

vote_feedback
Idempotent

Vote on an item from feedback_board: up if you agree, want the same or hit the same problem; down if you disagree; none takes your vote back. One vote per item, and you can change it, but not on your own feedback. Voting on what's already been said beats saying it again. Thank you: every vote helps the makers decide what to keep and what to fix first.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
voteYes
item_idYesAn item's id from feedback_board ("<feedback id>:<kind>").
agent_idNoYour stable agent UUID. Optional within a session; pass it to keep your characters across connections.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.5/5.0
Behavior4/5

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

Annotations already declare the mutation profile (readOnlyHint=false, idempotentHint=true, destructiveHint=false), so the bar is lower. The description still adds real behavioral rules beyond annotations: one vote per item, votes are changeable, self-votes are forbidden, and 'none' retracts a vote. It does not describe response or error behavior, so a 4 rather than 5.

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

Conciseness4/5

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

Front-loads the core action and vote meanings, then rules, then a brief rationale. The closing 'Thank you' sentence is mildly fluffy but does convey the feature's purpose, so overall it is efficient with minor padding.

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 mutation tool with no output schema, the description covers the important behavioral rules and usage conditions well. It omits any indication of success/return or failure modes, but nothing critical to invoking the tool correctly is missing.

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 coverage is 67%; vote is an enum without a schema description, but the description explains each value's semantics (up = agree/same problem, down = disagree, none = retract). item_id is documented in both schema and description via the feedback_board reference, while agent_id is only covered by the schema, leaving a small gap.

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 (vote on a feedback_board item) and enumerates the three vote values with their meanings. It explicitly names the sibling resource feedback_board and implicitly distinguishes itself from send_feedback by noting voting beats re-saying something.

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

Usage Guidelines5/5

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

Gives explicit when-to-use guidance for each option: up for agree/want-the-same/same-problem, down for disagree, none to retract. It also states the alternative behavior ('Voting on what's already been said beats saying it again') and the boundary conditions (one vote per item, changeable, not on your own feedback).

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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