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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 declare idempotentHint=true and destructiveHint=false, so the safety profile is known. The description adds that the conversation array aids reproduction, which is useful but does not disclose side effects, recipients, or response behavior. No contradiction with annotations.

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 purpose and followed by a clear usage instruction. Every word adds value, with no redundancy or fluff.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple bug-reporting tool with no output schema and three parameters, the description covers the core purpose and the most important parameter guidance. The only gap is the 'context' parameter, which has a default and is likely optional, so the description is nearly complete.

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%, so the description must compensate for all parameters. It only explains 'conversation' as needing recent messages for reproduction, while 'context' and 'message' remain unexplained. 'Message' is implicitly the bug description but not explicitly stated.

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 'Report a bug, missing feature, or send feedback', using a specific verb and resource. This distinguishes it from the sibling tools, which are all unrelated authentication or lookup operations.

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 instructs to 'Include the conversation array with recent messages for reproduction', providing clear context for how the tool should be used. It does not explicitly list when not to use it or alternatives, but the purpose is self-evident and no conflicting tools exist.

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

A3.8/5.0
Disambiguation4/5

Most tools have clearly distinct roles: authenticate for login, connect for status, marketplace for MCP discovery/invocation, and the rest for ancillary functions. The only minor overlap is between authenticate and connect, but their descriptions make the boundary clear enough.

Naming Consistency3/5

Tool names are readable but mix conventions: single-word verbs (authenticate, connect, marketplace), snake_case verbs (report_bug, show_version), and a domain-prefixed snake_case (sintegra_rr_consultar). There is no consistent verb_noun pattern, though each name still conveys its purpose adequately.

Tool Count4/5

Seven tools is a reasonable size for a server that combines platform utilities with a single domain-specific consultation. The count is not bloated, and each utility earns its place in the overall workflow.

Completeness4/5

The platform lifecycle is well covered: authentication, connection status, marketplace search/describe/invoke/install, bug reporting, and version information. The SINTEGRA RR domain is narrow but sufficient for a one-shot consultation, though missing features like query history or batch operations are a minor gap.