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list_feedback

Read product feedback and review decisions. Keep filters with the returned cursor. Check for an existing receipt before filing a duplicate.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
authorNo
cursorNo
statusNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.9/5.0
Behavior2/5

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

With no annotations, the description must carry the full behavioral burden. It only says 'Read' which implies non-destructive, but doesn't disclose pagination behavior beyond cursor hint, rate limits, or response format. The 'check for existing receipt before filing a duplicate' is a workflow caution that seems unrelated to the read operation, which may be a leftover from a surrounding process. This is ambiguous and not clear behavioral disclosure.

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?

The description is concise in three sentences, with the main action and a key hint about cursor. The third sentence about checking receipts is extra but could be seen as a relevant workflow note. Overall efficient, but not front-loaded with the most critical usage guidance.

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

Completeness2/5

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

For a read tool with no annotations, no output schema, and 4 parameters at 0% schema coverage, the description is insufficient. It fails to explain the response format, pagination details beyond a vague note about the cursor, or any specific parameter usage. The agent would be left guessing on important details.

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

Parameters2/5

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 for the four parameters. It mentions 'filters' but doesn't specify which parameters (limit, author, cursor, status) beyond that. It provides no format or semantics for any parameter, leaving the agent to infer them from the schema alone.

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 states a clear verb ('Read') and resource ('product feedback and review decisions'), which distinguishes it from sibling tools like 'submit_feedback' and 'get_feedback'. However, it doesn't explicitly differentiate it from 'get_feedback' or 'get_feedback_stats' in terms of scope or usage.

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 usage for reading feedback and mentions keeping filters with the returned cursor, which hints at pagination but doesn't explicitly state when to use this over sibling tools like 'get_feedback' or 'get_feedback_stats'. There's no explicit exclusion or alternative mention.

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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