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 idempotentHint=true and destructiveHint=false, so the tool is known to be non-destructive and safe to repeat. The description adds only a note about including conversation arrays, which is parameter guidance rather than behavioral disclosure. It does not contradict the annotations, but it also does not add meaningful context about side effects, permissions, or what happens on submission. Given the annotation coverage, a score of 3 is appropriate.
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 sentence with no superfluous words. It front-loads the purpose and includes a critical usage instruction. Every word earns its place, making it highly concise and well-structured.
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 reporting tool with three parameters, the description covers the core purpose and the most important parameter (conversation). However, it lacks any mention of expected return values or side effects (though output schema is absent). With annotations providing some safety guarantees, the description is adequate but not exhaustive, leaving gaps around 'message' and 'context' semantics. A score of 3 reflects this partial 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 explains that 'conversation' should contain recent messages for reproduction, adding value beyond the schema's plain string type. However, it does not explain 'message' or 'context', leaving their purpose ambiguous. The partial clarification lifts it above a 1 or 2, but it is not thorough enough for a 4.
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/feature/feedback), and it distinguishes the tool from siblings like authenticate, connect, or marketplace, which serve entirely different functions. The purpose is unambiguous.
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 on when to use the tool (reporting issues) and even instructs the user to include the conversation array for reproduction. However, it does not explicitly state when NOT to use it or mention alternative tools. Since the siblings are unrelated, the context is sufficiently clear without exclusion criteria, but it stops short of a full 5.
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.