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 that the tool is not read-only, not destructive, and idempotent. The description adds the useful behavioral cue to include the conversation array for reproduction, but it does not disclose what happens after submission, whether results are returned, or any side effects beyond what annotations convey.
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 concise sentences with the purpose front-loaded and the important reproduction guidance in the second sentence. Every sentence earns its place, and there is no filler or redundant repetition of schema details.
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 tool with three scalar parameters and no output schema, the description covers the core purpose and the most important reproduction detail. It leaves 'message' and 'context' semantics partly implicit, but the required message is reasonably inferable from the tool's purpose, making the description adequate overall.
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 for explaining parameters. It only explains the purpose of 'conversation' ('include the conversation array with recent messages for reproduction'); the required 'message' parameter and optional 'context' parameter receive no semantic explanation.
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 action: 'Report a bug, missing feature, or send feedback.' It names the verb and the resource/object (bug, feature request, feedback), making the purpose unambiguous and distinct from the unrelated sibling tools.
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 gives clear context for when to use the tool: whenever the user is reporting a bug, requesting a missing feature, or giving feedback. It does not explicitly list alternatives or exclusions, but the sibling tools are unrelated, so no strong competing tool is evident.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.