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Tribunal TRT22: Consulta Processual

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

B3.4/5.0
Behavior3/5

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

Annotations indicate idempotentHint=true, readOnlyHint=false, destructiveHint=false. The description adds that it sends feedback and includes conversation for reproduction, which is useful context. However, it doesn't disclose what happens after submission (e.g., confirmation, rate limits, or that it's a write operation). The description doesn't contradict annotations, but it doesn't add much beyond what annotations imply. With idempotentHint=true, the description could clarify that repeated submissions are safe, but it doesn't.

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 two sentences, concise and front-loaded with the purpose. The second sentence provides a specific usage instruction. No fluff, but it could be slightly more structured with explicit parameter guidance. Still, it's efficient.

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 tool has 3 parameters, no output schema, and minimal annotations. The description covers the purpose and hints at the conversation parameter but doesn't explain the 'context' parameter or the expected format of 'conversation' (JSON string). For a feedback tool, it's relatively simple, but the lack of parameter semantics and behavioral details (e.g., what happens after submission) makes it incomplete. It's adequate but not thorough.

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%, so the description must compensate. It mentions 'conversation array' but the schema defines 'conversation' as a string with default '[]', which is ambiguous. The description says 'Include the conversation array' but doesn't explain the format or that it's a JSON string. It also doesn't explain 'context' or 'message' beyond what the schema provides. The description adds some meaning for 'conversation' but not for 'context' or 'message'. Given 0% coverage, this is a gap.

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 clearly states the tool's purpose: 'Report a bug, missing feature, or send feedback.' It uses a specific verb ('report') and resource ('bug/feature/feedback'), and distinguishes from siblings by focusing on user feedback rather than authentication, marketplace, or tribunal processes. However, it doesn't explicitly differentiate from potential similar tools, but given the sibling list, it's clear enough.

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 when to use it (when reporting bugs, missing features, or feedback) but does not explicitly state when not to use it or mention alternatives. It provides a usage hint: 'Include the conversation array with recent messages for reproduction,' which gives context for effective use. No explicit exclusions or alternative tool references.

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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TDQS

B3.3/5.0
Disambiguation5/5

Each tool has a clear, distinct purpose: authentication, connection status, marketplace management, bug reporting, version info, toolkit state, and the actual process query. No two tools overlap in function, so an agent can reliably select the right one.

Naming Consistency2/5

Naming conventions are mixed: simple verbs (authenticate, connect), nouns (marketplace, toolkit_info), verb_noun pairs (report_bug, show_version), and a long domain-specific name (tribunal_trt22_processo_consultar). There is no consistent pattern across tools, making it harder to predict tool names.

Tool Count2/5

While 7 tools is a reasonable number, the majority serve platform management rather than the server's stated purpose of TRT22 process consultation. Only one tool directly addresses the domain, making the count feel mismatched—an agent expecting a focused query tool would find the set bloated with unrelated platform utilities.

Completeness1/5

The domain surface is severely underdeveloped: there is only a single query tool (tribunal_trt22_processo_consultar) with no search, batch, or complementary operations. The platform tools are comprehensive but irrelevant to the domain's completeness. Agents have no way to list processes, check validity, or retrieve metadata, leaving obvious gaps.