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 this as non-destructive, non-read-only, and idempotent. The description adds the useful behavioral hint to include the conversation for reproduction, which helps the agent understand the intended use. No contradictions with annotations.
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?
Two sentences with no filler. The key action and a crucial usage tip are front-loaded, earning every word.
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 feedback tool with three params and no output schema, the description covers the core purpose, highlights the one non-obvious parameter (conversation), and relies on the existing annotations for safety. Minor gap: 'context' param remains undocumented, but this does not undermine overall usability.
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 explain parameters. It explains the 'conversation' parameter but does not clarify the 'message' (obvious from context) or 'context' parameter. The description compensates only partially for the lack of schema documentation.
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?
Description states 'Report a bug, missing feature, or send feedback' with a clear verb and resource. It explicitly distinguishes from sibling tools, none of which are feedback-related.
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?
Provides clear context on what to include ('conversation array with recent messages for reproduction'), though it does not explicitly name exclusion criteria or alternatives. Since no sibling tool offers similar functionality, this is sufficient.
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 has a clearly distinct purpose: authentication, connection status, marketplace exploration, bug reporting, version display, toolkit state, and the specific aid consultation. No two tools overlap in functionality.
Naming is inconsistent: most tools are English verbs (authenticate, connect, report_bug), while one is a Portuguese snake_case noun (auxilio_reconstrucao_consultar). The pattern mixes languages, verb/noun forms, and capitalization styles.
With 7 tools, the set is well-scoped for a platform that combines generic MCP management with a single domain-specific query. It is within the ideal 3-15 range and each tool earns its place.
The platform side is comprehensive (auth, status, marketplace, feedback, version, toolkit info), but the domain-specific side has only one operation for the Auxílio Reconstrução. The marketplace tool mitigates this by allowing on-demand invocation of other MCPs, so major gaps are not present.