report_bug
Report a bug, missing feature, or send feedback. Include the conversation array with recent messages for reproduction.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| context | No | ||
| message | Yes | ||
| conversation | No | [] |
Report a bug, missing feature, or send feedback. Include the conversation array with recent messages for reproduction.
| Name | Required | Description | Default |
|---|---|---|---|
| context | No | ||
| message | Yes | ||
| conversation | No | [] |
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already indicate non-read-only, non-destructive, and idempotent behavior. The description adds the useful instruction to include the conversation array for reproduction, which is context beyond annotations. It does not contradict any annotations.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single concise sentence that front-loads the purpose and includes key invocation guidance. There is no redundant information.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple tool with no output schema, the description covers the main purpose and the most important parameter ('conversation'). It does not explain the 'context' parameter or what the expected response is, but the tool is straightforward enough that this is not a critical gap.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
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 explains the 'conversation' parameter's role but leaves 'message' and 'context' implicit. This partial explanation raises the score above baseline, but more parameter detail would be needed for full compensation.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool reports bugs, missing features, or sends feedback. This distinct action and resource set it apart from sibling tools like authenticate, show_version, or toolkit_info.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description clearly implies when to use the tool (when a bug, missing feature, or feedback needs to be submitted) and provides guidance to include the conversation array for reproduction. It does not explicitly mention when not to use it or alternatives, but the context is clear.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Multiple tools have overlapping purposes: connect and toolkit_info both report connection status, and authenticate also deals with credentials. The marketplace tool is a catch-all for many actions (search, describe, invoke, install, subscribe, etc.), making it hard to predict what it does from its name alone. The domain-specific tool (mpmt_procedimentos_consultar) is distinct, but the platform tools blur together.
Naming is inconsistent across the set: verb_noun (show_version, report_bug), bare verbs (connect, authenticate), nouns (marketplace, toolkit_info), and a Portuguese phrase (mpmt_procedimentos_consultar). There is no coherent pattern in style or language, making the tool names feel ad hoc.
At 7 tools, the count is within a reasonable range, but one tool (marketplace) is overloaded with dozens of sub-actions, making the real surface much larger and harder to grasp. The server mixes platform administration tools with a single domain operation, which feels unbalanced for its stated focus on procedures.
For the domain of consulting public ministry procedures, the single consultation tool is functional but minimal—there are no related operations like history, PDF export, or batch queries. The platform tools (authenticate, connect, marketplace) cover administration broadly, but the overall purpose of the server is unclear, making it hard to assess whether gaps exist.