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 adds a useful behavioral detail: include recent conversation messages for reproduction. However, it does not explain side effects, data sent, privacy implications, or what happens after reporting. Annotations cover some safety expectations, so the description is adequate but not rich.
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 short sentences. It front-loads the core purpose, then provides one key invocation detail. There is no redundant text or unnecessary structure.
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, the description captures the core intent and highlights the important reproduction input. Still, because there is no schema-level parameter documentation and the conversation type is ambiguous, there are clear gaps in knowing exactly how to construct a complete, correct invocation.
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 gives a hint about the conversation argument's purpose, but does not explain message or context, and it describes conversation as an array while the schema declares it as a string. This is too little information for the three parameters.
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 names the exact actions: report a bug, report a missing feature, or send feedback. This is specific and distinguishable from the unrelated sibling tools, and the verb+resource structure is clear.
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 clearly implies when to use the tool: when there is a bug, missing feature, or general feedback. It does not explicitly list exclusions or alternatives, but the sibling tools do not appear to compete with this reporting behavior.
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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