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 declare readOnlyHint=false, destructiveHint=false, and idempotentHint=true. The description adds no behavioral context beyond input guidance (conversation array). It does not explain what happens after submission, any side effects, or authentication requirements. With annotations present, the bar is lower, but the description still adds little beyond the schema.
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 purpose and a key usage hint. No filler 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?
Given the simple nature of the tool (reporting feedback), the description and annotations are adequate. It covers what to include (conversation) but doesn't mention behavior like throttling or response format. Since there's no output schema froesn't need to. Annotations cover side effects. For a simple write operation, this is complete enough.
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 schema has 0% description coverage, so the description must compensate. It explains the 'message' parameter implicitly (the bug/feature/feedback content) and explicitly mentions 'conversation' for reproduction. However, the 'context' parameter is left unexplained. With 0% schema coverage and 3 params, this partially compensates but not fully, scoring a 3.
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: 'Report a bug, missing feature, or send feedback.' This is a specific verb (Report) and resource (bug/feedback), and it distinguishes from siblings like authenticate or marketplace by focusing on bug reporting.
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 an explicit instruction to include the conversation array with recent messages for reproduction, which is a clear usage context. It does not explicitly state when not to use it or name alternatives, but the context is fairly obvious (use when you encounter a bug or want to send feedback).
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 `marketplace` tool is a multi-action catch-all that duplicates functionality in dedicated tools: it includes report_bug, install/uninstall, list_tools, auth/connect links, and prompt actions. As a result, an agent may struggle to choose between `marketplace` and the standalone `report_bug`, `connect`, or `toolkit_info` tools; only `mpt_mg_cnf_consultar` is clearly distinct.
The names are all lowercase and readable, but they do not follow one pattern: single-word verbs like `authenticate` and `connect` sit alongside snake_case verb_noun names like `report_bug` and `show_version`, plus noun-style names like `marketplace` and `toolkit_info`. The domain tool `mpt_mg_cnf_consultar` also uses an opaque slug rather than a predictable verb_noun structure.
Seven tools is not a large count by itself, but six of them are generic MCP platform utilities while only one serves the server's apparent domain of MPT MG certificate queries. The `marketplace` tool also bundles many sub-actions, so the nominal count understates the real surface and overstates domain focus for a server named after a single certificate service.
For the core domain, `mpt_mg_cnf_consultar` provides the single essential read operation, so a query-only certificate service has no obvious CRUD gap. The platform side is also broadly covered by `marketplace`, but there is no dedicated credit-balance or query-history tool, and some capabilities are bundled rather than first-class.