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 indicate it's non-read-only, non-destructive, and idempotent. The description adds that the conversation array is used 'for reproduction', which gives minor insight into how the data is used but doesn't explain side effects, privacy, or what happens after submission. It's 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?
Two short, front-loaded sentences. The purpose is immediate, and the instruction about the conversation array is directly relevant. No wasted words.
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 covers the core use case well, but leaves the 'context' parameter entirely undocumented. Given there is no output schema or return value documentation, the description could have elaborated on expected input format or feedback reception, but overall it's minimally viable.
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 coverage is 0%, so description carries full burden. It clarifies 'conversation' should contain recent messages, but 'context' and 'message' are left unexplained. Missing required-field semantics for 'message' and the role of 'context' mean more burden should have been placed on the description.
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 its purpose: 'Report a bug, missing feature, or send feedback.' This provides a specific verb (report) and resource (bug/feature/feedback), and is distinct from sibling tools like 'connect' or 'marketplace' which have unrelated goals.
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 on when to use (to report bugs or give feedback) and even instructs to include the conversation array for reproduction. It doesn't explicitly state when not to use or name alternatives, but the intent is clear enough for an agent to select it appropriately.
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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