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, idempotentHint=true. The description only adds a usage hint about the conversation array but does not disclose any behavioral traits beyond what annotations provide, such as side effects, error conditions, or required permissions. No contradiction, but also no added behavioral context.
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, front-loaded with the primary purpose. It wastes no words, though it could add more detail without becoming verbose. It earns a 4 for being succinct but potentially under-informative.
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 (no nested objects, no output schema, 3 params with defaults). The description covers the main purpose and hints at the conversation usage, but it doesn't explain what 'message' and 'context' are or how the tool behaves beyond reporting. Given the low complexity, this is adequate but not fully complete for an agent to know how to fill parameters correctly.
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?
The description mentions 'Include the conversation array with recent messages for reproduction,' which explains the 'conversation' parameter. However, it does not explain the 'message' parameter (the required one) or the 'context' parameter. With schema coverage at 0%, the description should compensate for all parameters but only partially covers one, leaving others without semantic clarity.
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 action: 'Report a bug, missing feature, or send feedback.' It uses a specific verb (report) with a clear resource (bug/feature/feedback), distinguishing it from sibling tools like 'authenticate' or 'marketplace' which have 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?
The description provides a specific instruction to 'Include the conversation array with recent messages for reproduction,' which is a clear usage guideline. It does not explicitly state when not to use the tool, but among siblings, none overlap with bug reporting, so usage context is clear without needing exclusions.
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 tools generally have distinct purposes: one domain query, plus auth, connection status, catalog, bug reporting, version, and toolkit state. A little overlap exists between connect and toolkit_info, but the descriptions clarify their different focuses.
All names use lowercase snake_case and are readable, but the pattern is mixed: some are imperative verbs (authenticate, connect, report_bug, show_version), some are nouns (marketplace, toolkit_info), and the domain tool is object-verb (antt_veiculo_consultar).
Seven tools is a reasonable numeric count, but the set is unbalanced: only one tool actually serves the ANTT vehicle domain, while six are generic platform/admin utilities. This makes the server feel padded rather than purpose-built.
The core consultation workflow is present, and platform tools cover authentication, connection, and billing. However, the ANTT domain surface is very thin—a single query operation—so deeper vehicle-related operations or query variants are largely missing.