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 idempotentHint=true and destructiveHint=false, so the safety profile is clear. The description adds useful context about including conversation messages for reproduction but does not disclose what happens after submission, expected response, or any side effects.
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 two short sentences, front-loaded with the core purpose and a single key usage note. No wasted words.
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?
The tool is simple, but the description lacks details on what happens after submission, response format, or how the conversation array should be formatted. Given no output schema and sparse parameter coverage, it is minimally adequate but leaves gaps.
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%. The description mentions the conversation array, which helps understand the 'conversation' parameter, but it does not explain the required 'message' parameter or the optional 'context' parameter, leaving meaning uncovered.
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's purpose with specific verbs: 'Report a bug, missing feature, or send feedback.' It is distinct from sibling tools, which are unrelated (e.g., authenticate, connect, marketplace).
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 implies when to use the tool (for reporting issues or feedback) but does not explicitly contrast with alternatives or mention exclusions. It provides some usage guidance by instructing to include the conversation array for reproduction.
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.
Each tool has a clearly distinct purpose: authentication, connection status, marketplace operations, bug reporting, version info, toolkit state, and vehicle consultation. No two tools overlap in functionality, so an agent can reliably select the right one.
Tool names are inconsistent, mixing English verbs (authenticate, connect, marketplace), verb+noun (report_bug, show_version), noun+noun (toolkit_info), and a Portuguese snake_case domain term (veiculo_estadual_consultar). No consistent convention is used across the set.
Seven tools is a moderate count, but six of them are generic platform utilities unrelated to the server's stated vehicle-consultation purpose. The domain-specific surface is minimal, making the server feel padded with infrastructure tools.
For the domain of vehicle consultation, the single tool covers the core needs (lookup by plate with debts and situation). There are minor potential gaps, such as distinguishing different query types (e.g., by VIN), but the current surface is workable for a read-only consultation service.