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 establish idempotent, non-destructive, and non-read-only behavior. The description adds that conversation data should be included for reproduction, but it does not clarify what happens after submission (e.g., whether an issue is created, data leaves the environment, or whether there is any confirmation response). No contradiction 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?
The description is short, front-loaded with the main purpose, and contains no filler. It earns its sentences, though the 'array' wording could be more precise and schema-aligned.
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 low-complexity tool with annotations and one required parameter, the description is minimally adequate. However, it omits the meaning of the optional context parameter, does not explain the expected format of conversation beyond 'array,' and provides no information about return values or post-submission behavior.
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 only addresses the conversation parameter, and it does so in a slightly misleading way: it says 'conversation array' while the schema defines conversation as a string. The required 'message' and optional 'context' parameters are not semantically explained.
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/send) with a clear resource (bug/feedback), and it is easily distinguished from siblings like connect, marketplace, or show_version.
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?
It provides clear when-to-use context by listing the intended scenarios: bug reporting, missing feature requests, and general feedback. It does not explicitly mention exclusions or alternative tools, but the sibling list makes the use case relatively obvious.
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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