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Tribunal TRT21: Certidão Eletrônica de Ações Trabalhistas (CEAT)

report_bug

Idempotent

Report a bug, missing feature, or send feedback. Include the conversation array with recent messages for reproduction.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
contextNo
messageYes
conversationNo[]

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

A3.6/5.0
Behavior3/5

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

Annotations already indicate the tool is non-destructive and idempotent. The description adds that the conversation should be included for reproduction, which hints that submission data is used for debugging. However, it does not disclose what the response does with the report or whether any permission is needed. With annotations covering the basic behavior, this is acceptable but minimal.

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 extremely concise with two short sentences. It front-loads the purpose and provides one essential usage tip. It does not waste any words. A slight increase in length could add needed parameter semantics, but the current structure is efficient.

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?

The tool has 3 parameters, no output schema, and low annotation guidance. The description does not cover what 'message' should contain, how to format the conversation string, or what happens after submission. For a simple reporting tool this may be workable, but the agent is left uncertain about key fields for correct invocation.

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 fill the gap. It only mentions 'conversation array' but does not clarify that the schema defines conversation as a string (likely JSON). The required 'message' parameter and the optional 'context' parameter are not explained at all, leaving significant ambiguity for the agent.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool's action: 'Report a bug, missing feature, or send feedback.' This is a specific verb and resource combination that distinguishes it from the sibling tools, which include authentication, marketplace, and system info tools.

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?

The description gives clear context: use this tool for reporting bugs, missing features, or feedback. It also provides a concrete usage direction by telling the agent to include the conversation array for reproduction. It does not explicitly name alternatives, but none of the sibling tools serve a similar purpose, so the guidance is sufficient.

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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