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Send feedback

send_feedback

Send feedback about the MCP tools to the Stub team.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
toolNoOptional: the MCP tool name this feedback is about (e.g. list_invoices).
feedbackYesYour feedback about the MCP tools — what worked, what didn't, what's missing.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.5/5.0
Behavior3/5

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

Annotations already mark this as non-read-only and non-destructive; the description adds that feedback is sent to the Stub team, which is expected from the verb 'send.' No additional side effects, confirmation behavior, or persistence details are disclosed, so it provides only baseline transparency.

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 a single, front-loaded sentence with no wasted words. It conveys the action, subject, and recipient in a compact form that is easy to parse.

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

Completeness3/5

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

The tool is simple and the schema covers parameters, so the description is mostly sufficient for invocation. However, the existence of a very similar sibling tool, send_team_feedback, creates real selection ambiguity that the description does not address, and there is no mention of what happens after sending.

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 100%, so both parameters are already documented in the input schema. The description does not add parameter-level detail beyond saying feedback is about MCP tools, which aligns with the schema but is not extra semantic value.

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?

The description clearly states a specific action (send feedback), the subject (MCP tools), and the recipient (Stub team), so an agent can understand the tool's purpose immediately. However, it does not explicitly distinguish this tool from the similarly named sibling send_team_feedback, relying on the reader to infer the difference.

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 phrase 'about the MCP tools' implies when the tool should be used, and the schema describes what the feedback should contain. There is no explicit guidance about when not to use it or how it differs from alternatives like send_team_feedback, so the agent must infer the boundary.

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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