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 the tool is not read-only (readOnlyHint=false), is idempotent (idempotentHint=true), and non-destructive. The description adds guidance about including the conversation array, which is helpful, but it does not disclose what happens after reporting (e.g., whether a ticket is created, whether confirmation is returned). With annotations present, the description adds minimal behavioral context beyond them.
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, front-loaded sentence that states the purpose and the key parameter guidance. No filler or redundancy; every word earns its place.
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 feedback tool with 3 parameters, the description conveys the main purpose and the conversation requirement, but it does not explain the 'context' parameter or indicate what happens after submission (no output schema exists). It is minimally adequate but not fully informative.
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 only explains the 'conversation' parameter ('with recent messages for reproduction'), leaving 'message' and 'context' undefined. The parameter list is three items, but the description is insufficient for two of them.
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 action and target: 'Report a bug, missing feature, or give feedback.' It also instructs to include conversation history, making the function unambiguous. It is distinct from sibling tools like 'authenticate' or 'marketplace', which serve entirely different purposes.
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?
No explicit guidance is provided regarding when to use this tool versus alternativesais. There is no mention of when not to use it or any context such as 'if you encounter an error.' The description only states what it does, not when to invoke it.
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.
authenticate, connect, and toolkit_info all touch auth/connection status, so an agent must read carefully to pick the right one. The DETRAN query tool and marketplace are clearly distinct, but the platform helpers blur together.
Names mix bare verbs (authenticate, connect), noun phrases (marketplace, toolkit_info), and a Portuguese snake_case object-verb (detran_mt_veiculo_consultar). There is no consistent verb_noun or noun_verb convention across the set.
Seven tools is a reasonable number, but six are generic platform/meta helpers (auth, connect, marketplace, bug report, version, toolkit info) and only one is the named DETRAN vehicle domain. This makes the set feel padded and off-topic for a 'DETRAN MT: Veículo' server.
The core paid vehicle consultation flow is supported (authenticate, connect, market/checkout, consultar), so agents can complete a query. However, beyond that single query there are no other vehicle-domain operations (e.g., searching by different identifiers, listing query history, or checking credits), leaving the domain surface thin.