Skip to main content
Glama

爱佳肴 Love Life

report_issue

报告问题。type:wrong_info 信息错误 / closed 店已关闭 / duplicate 重复店铺 / fraud 疑似作弊。 多个 Agent 报告同一家店后,该店会被标记为“有争议”。

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
noteNo
typeYes
store_idYes
agent_keyNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.4/5.0
Behavior3/5

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

With no annotations, the description carries the full burden. It does disclose one meaningful behavioral trait beyond the schema: multiple agent reports on the same store cause it to be flagged as 'disputed'. It is silent on whether reports require an authorized agent, whether they are reversible, and whether duplicate reports by the same agent are deduplicated.

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 short sentences, front-loaded with the action and then the parameter vocabulary and the aggregate consequence. Dense but every clause carries information; the type list is compact rather than verbose.

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?

There is no output schema and no annotations, so the description bears full weight. It covers the enum vocabulary and the disputed-flag consequence, but leaves the semantics of store_id/note/agent_key and the shape of the response unexplained, which is a real gap for a 4-parameter mutation tool.

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 0% and no enums are declared, so the description's enumeration of allowed `type` values is genuinely load-bearing and prevents invalid input. It says nothing, however, about store_id, note, or agent_key, so three of four parameters remain semantically undocumented.

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 names a specific action and resource: reporting a problem about a store, and enumerates the four report categories (wrong_info, closed, duplicate, fraud). It is clearly distinguishable from read-oriented siblings like get_restaurant and search_restaurants, though it does not explicitly contrast itself with the closest sibling, submit_feedback.

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 four type values are explained (wrong_info = incorrect info, closed = store closed, duplicate = duplicate store, fraud = suspected cheating), which implicitly tells the agent which category to pick. However, there is no explicit when-to-use guidance versus alternatives such as submit_feedback or update_restaurant, and no prerequisites or exclusions are stated.

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