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 idempotentHint=true and destructiveHint=false, establishing that the operation is safe to repeat and non-destructive. The description adds little beyond purpose, only suggesting including conversation for reproduction. It does not contradict any annotations, but it also does not disclose additional behavioral traits such as side effects or authentication needs.
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 sentences, succinct and front-loaded with the primary purpose. It contains no redundant phrases and conveys the key instruction about conversation inclusion. 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 tool with three parameters and no output schema, the description is only partially complete. It explains the purpose and the conversation parameter, but leaves the required message parameter and context unspecified. An agent could infer the message is the bug/feedback text, but additional guidance would improve completeness.
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 references the 'conversation array' and its purpose (recent messages for reproduction), which adds some meaning to the conversation parameter. However, it does not describe the required 'message' parameter or the optional 'context' parameter, leaving significant gaps. The term 'array' conflicts with the schema's string type, though it might imply a serialized array.
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 identifies the tool's purpose: 'Report a bug, missing feature, or send feedback.' The verb 'report' is specific, and the resource targets are explicit. Among sibling tools (authenticate, connect, marketplace, etc.), none overlap with bug/feedback reporting, so it is well-distinguished.
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 clear context for when to use the tool: 'Report a bug, missing feature, or send feedback.' It also instructs to 'Include the conversation array with recent messages for reproduction,' which is a practical usage directive. However, it does not explicitly mention exclusions or alternatives, though sibling tools are unrelated.
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.
Each tool serves a clearly distinct function: authentication, the BACEN query, connection status, marketplace operations, bug reporting, version display, and toolkit state. There is no overlap in their purposes despite the marketplace tool's long description.
Tool names follow no consistent pattern: some are single verbs (authenticate, connect), some are nouns (marketplace), some are verb_noun (report_bug, show_version), and one is snake_case with a reversed order (bacen_proibidos_consultar). This mixing of conventions makes naming unpredictable.
Seven tools is within a reasonable range, but six of them are platform-level utilities unrelated to the server's stated BACEN domain. The count feels inflated for a dedicated 'Proibidos BACEN' server, though it is not excessive.
The BACEN consultation is a simple query with no obvious missing CRUD operations, but the platform tools could benefit from additional management features (e.g., logout or billing details). The domain coverage is adequate but not exhaustive.