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 and destructiveHint=false, so the description does not contradict them. It adds context about including the conversation array for reproduction, but it does not disclose other traits like authentication requirements or expected response. This is baseline with some added value.
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 that front-loads the purpose and provides a key usage hint. 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?
The tool is simple and has annotations, but with 0% schema description coverage, the description needs to explain all parameters. It only covers 'conversation' and leaves 'context' unexplained. It also omits details about auth requirements or outcomes, though these are partly mitigated by annotations.
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 explains the 'conversation' parameter (array for reproduction) but does not explain 'context' or 'message' beyond their names. This partial compensation warrants a middle score.
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 and resource, and it is distinct from all sibling tools (authenticate, connect, etc.), which serve unrelated functions.
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 explicitly lists the use cases (bug, missing feature, feedback) and instructs to include the conversation array for reproduction. However, it does not explicitly state when not to use the tool or name alternatives, though no close alternatives exist among the siblings.
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.
Multiple platform utility tools overlap: authenticate, connect, and toolkit_info all deal with connection/auth state, while marketplace bundles search, invoke, install, billing, and prompt library functions into one tool. The only domain-specific tool, bpc_consultar, is clearly distinct but the rest have blurred boundaries.
Tool names follow no consistent pattern: some are bare verbs (authenticate, connect), some are noun phrases (marketplace, toolkit_info), and the domain tool uses an underscore-prefixed convention (bpc_consultar). Mixed styles make it hard to predict tool names.
Seven tools is a reasonable number, but the server is ostensibly for BPC consultation, and only one tool addresses that domain. The rest are generic platform utilities that seem bolted on, making the set feel bloated for the stated purpose and under-delivering on the core domain.
For a BPC server, the surface is severely incomplete: only one consult operation exists, with no support for other related actions. The platform utility tools don't fill this gap; they serve a different purpose entirely, leaving the BPC workflow with a dead end.