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 readOnlyHint=false, destructiveHint=false, and idempotentHint=true. The description adds the useful context that the conversation array is used for reproduction, but it does not disclose what side effects occur after reporting (e.g., ticket creation or data transmission), so transparency beyond annotations is limited. No contradiction with annotations is present.
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 focused sentences: the first states the purpose, the second gives key operational guidance. Every sentence earns its place, with no filler or redundancy.
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 3-parameter string-input tool without an output schema, the description covers the core intent and the reproduction instruction. However, the 'context' parameter is not explained, and nothing mentions what response or outcome to expect after the report is submitted. It is adequate but leaves clear 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%, so the description must compensate. It explicitly mentions only the 'conversation' parameter ('Include the conversation array with recent messages for reproduction'), and 'message' is implicitly clear from the tool's purpose. The 'context' parameter is left completely unexplained, and no format or semantics details are given beyond the schema itself.
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 opens with 'Report a bug, missing feature, or send feedback,' using a specific verb and clearly defining the resource/scope. None of the sibling tools (authenticate, connect, marketplace, etc.) overlap with this purpose, so no sibling differentiation is needed.
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?
It gives clear usage context: report bugs, missing features, or feedback, and instructs to include the conversation array for reproduction. It does not provide explicit exclusions or alternative tool mentions, but since no sibling performs a similar function, the lack of when-not-to-use guidance is not a material gap.
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.
The vehicle lookup tool is clearly distinct, but several platform tools overlap in responsibility: connect, authenticate, and toolkit_info all deal with connection/auth/toolkit status, and marketplace can also be used to route to domain lookups. The verbose descriptions help, but an agent could still confuse which meta-tool to use in a given situation.
Tool names are generally lowercase and readable, but they mix bare verbs (connect, authenticate), verb+noun pairs (show_version, report_bug), noun phrases (marketplace, toolkit_info), and an unusually ordered domain name (detran_ms_veiculo_consultar). There is no single, predictable naming convention across the set.
Seven tools is not an unreasonable raw count, but only one of them is vehicle-domain-specific; the rest are platform/marketplace/auth/status infrastructure. The set feels like a platform wrapper with a single DETRAN tool bolted on, so the count is borderline rather than well-balanced.
The server exposes only one DETRAN/vehicle operation, so the domain surface is quite thin for a service named after DETRAN MS vehicle data. There are no explicit secondary operations covering other vehicle-related queries, and the remaining tools are platform management rather than domain functionality. The marketplace tool may help route to other services, but the server's own dedicated domain coverage is limited.