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Send feedback

send_feedback
Read-onlyIdempotent

FREE. Tell Maxwell why you did not buy, what data, category or product you needed that is not here, or whether a paid answer was right. Every field is optional; one call, no payment.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "send_feedback"
  }
}

Input Schema

NameRequiredDescriptionDefault
kindNoWhat this is about
ratingNoFor a paid answer: 1 (bad) to 5 (good)
reasonNo
wantedNoThe data, category or product you needed
commentNoAnything else (max 1000 characters)
productNoProduct id or path, e.g. ski.prices
requestIdNorequestId from a paid answer, if any

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / properties / product / description
      Previous value: -"Product id or path, e.g. courts.search"New value: +"Product id or path, e.g. ski.prices"
  2. Added

TDQS

A3.6/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, openWorldHint and idempotentHint, so the low-risk profile is covered structurally. The description adds real context the annotations do not: the call is free, costs no payment, and accepts partial submissions. It is silent, however, on what happens to the feedback, whether the agent gets a meaningful response, and whether it influences future results. There is also mild tension between "tell Maxwell" (a submission) and readOnlyHint, though the hint plausibly refers to not mutating user data or charging, so it is not a contradiction.

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?

Two sentences, front-loaded with the most decision-relevant fact ("FREE"). The second sentence disposes of the effort objection (all fields optional, one call). Slight marketing tone, but every clause carries call-relevant information.

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?

For a 7-parameter, all-optional tool with no output schema but with annotations covering the safety profile, the description covers what to send and why. It stops short of describing the response (confirmation, ID) or whether feedback reaches a human, which would matter to an agent deciding whether the call has a durable effect.

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 86%, so the schema already documents kind, rating, wanted, comment, product and requestId. The description loosely maps prose to fields (why you did not buy → kind/reason, what you needed → wanted, whether a paid answer was right → rating), but adds no format or constraint detail beyond the schema. Baseline 3 is appropriate.

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?

"Tell Maxwell why you did not buy, what data, category or product you needed that is not here, or whether a paid answer was right" makes the verb (send a message to the operator) and the content of that message concrete. No sibling tool is a feedback channel, so it is distinguishable without reading the schema. The name-plus-title pairing is not merely restated — the sentence enumerates the three feedback scenarios.

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?

It gives clear triggering contexts: after a non-purchase, when needed data/category/product is missing, or after a paid answer. "Every field is optional; one call, no payment" removes the main hesitation about calling it. It does not name any alternative tool or state an explicit when-not-to-use case, which keeps it short of a 5.

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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