Skip to main content
Glama

Report unsatisfied shopping request

report_not_found

Free. Report a genuine shopper mismatch after a search. Do not send synthetic reports or personal details. Response states whether the agent observation was saved; it is not verified human demand.

Input Schema

NameRequiredDescriptionDefault
queryYes

Output Schema

NameRequiredDescriptionDefault
codeNo
noteNo
savedNo
evidenceNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.7/5.0
Behavior4/5

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

Annotations already flag a non-read-only, non-destructive, non-idempotent write; the description adds real value on top by disclosing cost ("Free"), the response semantics (saved vs. not), and the important caveat that the report is not verified human demand. It doesn't mention duplicate/idempotency behavior, which matters given idempotentHint=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?

Three short sentences, front-loaded with cost and action, then constraints, then return semantics — nothing wasted and no repetition of annotation or schema content.

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 caveat about verification and the saved/not-saved response are covered, and an output schema exists so return shape needn't be spelled out. However, a write tool with an undocumented required argument should define what constitutes a "mismatch" and what to put in query.

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 coverage is 0% and the single parameter is never explained — "query" could plausibly mean the original search string, the product sought, or a free-text mismatch description (maxLength 500 suggests the latter). Only the phrase "after a search" hints at its content, leaving the required argument genuinely ambiguous.

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?

Uses a specific verb (report) plus a scoped object (a genuine shopper mismatch after a search), which an agent can distinguish from check_demand/list_gaps. It never names a sibling outright, so sibling routing is implied rather than explicit.

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?

"after a search" establishes the precondition, and "Do not send synthetic reports or personal details" gives an explicit when-not rule that most tools lack. It stops short of naming which alternative to use (e.g., check_demand) when the agent wants demand data instead.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

Resources