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 description doesn't need to repeat that. It adds context about including the conversation array for reproduction, but doesn't clarify what happens after submission (e.g., whether a report is created, if there is confirmation, or any side effects). The description does not contradict annotations, but it underutilizes the opportunity to provide richer behavioral detail.
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, concise, and front-loaded with the purpose then usage instruction. No wasted words; every sentence contributes meaning.
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 report tool with no output schema stub, the description is adequate but has gaps: it does not mention expected behavior after submission, whether confirmation is provided, or whether the action is synchronous. The idempotency hint in annotations partially covers side effects, but the lack of any statement about return/outcome leaves some ambiguity.
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 coverage is 0% and description falls back to compensating. It mentions the 'conversation' parameter explicitly ('Include the conversation array'), but does not explain the 'message' (required) or 'context' parameters. Since the required parameter 'message' is not described and 'context' is ambiguous, the description only partially clarifies parameter usage, missing a chance to fully explain input semantics.
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 it reports bugs, missing features, or sends feedback, which is a specific and distinct purpose from the sibling tools (e.g., authenticate, connect, sefaz_ce_certidao_debitos_consultar). It is not merely a restatement of the tool name and immediately conveys the tool's core function.
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 a usage hint ('Include the conversation array with recent messages for reproduction') but does not explicitly state when to use it vs. alternatives, nor does it mention when not to use it. There is no exclusion guidance or alternative tool recommendation, so it meets the minimum for clear context but lacks explicit branching.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
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