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?
The annotations already mark the tool as non-read-only and idempotent, and the description adds that the conversation array should be attached for reproduction. However, it does not disclose what happens after submission, whether data is sent externally, or what the response/outcome will be. 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.
Is the description appropriately sized, front-loaded, and free of redundancy?
Two concise sentences that front-load the main purpose and then provide one crucial usage detail. There is no wasted wording or redundant restating of the title.
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 reporting tool, the description covers the main action and one important input behavior, but leaves the 'context' parameter unexplained and provides no information about the response format or side effects. The lack of annotations and output schema increases the burden, making this only minimally complete.
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?
With 0% schema description coverage, the description needed to explain all parameters, but it only covers the 'conversation' array and implicitly the 'message' field. The 'context' parameter is completely unexplained, and the schema provides no descriptions, leaving a significant gap.
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 identifies the tool's purpose: reporting bugs, missing features, or feedback. It uses a specific verb with a resource and is distinct from the sibling tools, which are mostly query/consultation operations.
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 gives clear usage context: use this when the user wants to report a bug or provide feedback. It also instructs the agent to include the conversation array for reproduction. It does not explicitly mention when not to use it, but the context is unambiguous enough.
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.
Every tool has a clearly distinct purpose. The consulta tools target specific databases (CND, FGTS, trademarks, sanctions) with descriptive names, and the administrative tools (authenticate, marketplace, etc.) are unrelated to the queries. No two tools appear to perform the same function.
The majority of tools follow a consistent 'consultas_' prefix with descriptive suffixes, but the administrative tools (authenticate, connect, marketplace, report_bug, etc.) break the pattern with plain verb/noun names. This creates two distinct naming conventions within the same server.
At 29 tools, the set is bloated. The inclusion of a full marketplace tool and generic admin/version/feedback utilities goes beyond the core 'consultas' purpose, making the count feel excessive. The query tools themselves are numerous but could be trimmed.
The set covers a wide range of Brazilian data consultations, from debts and tax status to trademarks, patents, and sanctions. Minor gaps exist (e.g., no general court case search beyond SEEU), but the core domain is well covered and agents can accomplish most common query tasks.