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?
The description discloses that the tool will send feedback and that the conversation is included for reproduction purposes. This adds context beyond the annotations, which only indicate idempotency and non-destructive behavior. No contradiction with annotations is detected.
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 concise at two sentences and front-loads the primary purpose and the most important usage instruction. There is no filler or redundant wording.
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?
This is a simple feedback tool with no output schema, so the description need not explain return values. However, it fails to document the required `message` parameter or the optional `context` parameter, and its description of `conversation` conflicts with the schema's string type. These gaps make the tool incomplete for an agent to use it confidently.
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 needs to explain the required parameters. It mentions the `conversation` parameter but describes it as an 'array', while the schema types it as a string with default '[]'. The required `message` parameter and optional `context` parameter remain unexplained.
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?
Clearly identifies the action ('report a bug, missing feature, or send feedback') and the resource involved, which distinguishes it from the sibling tools. The verb 'report' and 'send' specify what the tool does without ambiguity.
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 advises including the conversation array with recent messages for reproduction, which is practical usage guidance. No explicit alternatives or exclusions are given, but none of the sibling tools serve the same purpose, so the guidance is still clear.
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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