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 declare readOnlyHint=false, destructiveHint=false, and idempotentHint=true, so the agent knows this is a non-destructive, idempotent action. The description adds the requirement to include the conversation array, which is a behavioral expectation beyond annotations. However, it does not disclose what happens after reporting (e.g., response format, ticket creation). The description contributes some context, but the burden is partially met by annotations, so a 3 is appropriate.
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, front-loaded with the core purpose ('Report a bug') and immediately following with the key usage instruction. No filler or redundant information, every word earns its place. This is an optimal length for the tool's simplicity.
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?
Given the tool is simple (3 params, no output schema, no nested objects), the description covers the essential purpose and provides a key usage detail. It does not elaborate on the optional 'context' param or post-submission behavior, but these are minor gaps for a straightforward bug-reporting tool. The description is sufficiently complete for its complexity, so a 4 is suitable.
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?
While the schema has 3 parameters and 0% description coverage, the description partially explains 'message' (as the report content) and 'conversation' (as recent messages for reproduction). It does not clarify the 'context' parameter, which remains unnamed. The description adds meaning to two of the three params, but not fully, so a score of 3 reflects partial compensation for the schema gap.
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 purpose: 'Report a bug, missing feature, or send feedback.' It uses a specific verb and resource, distinguishing it from sibling tools like authenticate, connect, or marketplace, which are unrelated to bug reporting. The mention of including the conversation array further specifies the exact action expected.
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 a clear usage directive: 'Include the conversation array with recent messages for reproduction.' This tells the agent how to provide necessary context. It does not explicitly name alternative tools, but given that the siblings are unrelated, no exclusion is needed. The guidance is implied rather than explicit, warranting a 4.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.