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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

A3.9/5.0
Behavior3/5

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

Annotations already indicate idempotency (idempotentHint true) and non-destructive behavior, but the description adds that the conversation array is used for reproduction, implying the tool transmits data for debugging. It does not disclose whether data is transmitted externally or stored, but given annotations cover safety, this adds modest value without contradicting any hints.

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?

The description is two concise sentences, front-loaded with the core purpose and then a useful usage hint. No filler words or redundancy; every part contributes meaning.

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 simple tool with three parameters and no output schema, the description gives the essential purpose and a key usage detail. It does not clarify the format or expected content of 'message' or 'context', but the overall complexity is low and the description covers the core need. Adequate but with room for more detail.

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 coverage is 0%, so the description must compensate. It explicitly mentions the 'conversation' parameter for reproduction, adding meaning beyond the schema. However, it does not explain the 'message' or 'context' parameters, though 'message' is required and likely self-explanatory. Overall, partial compensation is provided.

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 verb 'report' and the objects 'bug, missing feature, or send feedback', which defines exactly what the tool does. It is distinct from siblings since none are related to feedback or bug reporting, making its purpose unambiguous.

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 provides a clear context for when to use the tool (reporting issues or feedback) and offers specific guidance to include the conversation array for reproduction. While it does not explicitly list exclusions or alternatives, the unique purpose among siblings makes it the obvious choice for this use case.

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

A3.7/5.0
Disambiguation3/5

The set mixes platform-level tools (connect, toolkit_info) that both report connection status, and marketplace is an overloaded catch-all. The four transparencia_* tools are distinct, but overall there are boundary ambiguities that descriptions only partially resolve.

Naming Consistency3/5

The data tools follow a clear transparencia_<domain>_<entity> pattern, but the platform tools are a mix of bare verbs (authenticate, connect), nouns (marketplace), and verb_noun compounds (report_bug, show_version, toolkit_info). Mixed conventions but readable.

Tool Count4/5

At 10 tools, the count is within a reasonable range, but only 4 are actually transparency-related data tools; the other 6 are MCP platform utilities that feel out of place for a CGU-focused server, making the set slightly over-scoped.

Completeness2/5

The transparency data coverage is thin: it has expense documents, aggregate expenses, PEP, and sanctions, but lacks many core CGU portal queries such as government employees' salaries, travel expenses, agreements, and bidding data. This leaves significant gaps for any broader transparency use case.