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 disclose readOnlyHint=false, destructiveHint=false, and idempotentHint=true, covering the safety profile. The description adds a small instruction about including conversation for reproduction but doesn't describe side effects (e.g., whether a ticket is created, where feedback goes). This is limited extra value, 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 exactly two sentences, front-loaded with the primary purpose, and includes only necessary guidance about the conversation array. Every word earns its place with no redundancy or fluff.
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 parameters and no output schema, the description is adequate. It covers the core action and the most important parameter (conversation). The only gap is the unexplained context parameter, but overall it provides sufficient information for an agent to use the tool correctly.
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 explicitly explains the conversation parameter (include recent messages for reproduction) and the message parameter is implied as the main text. The context parameter remains unexplained, but the most critical parameters are meaningfully described, providing partial compensation.
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 defines the tool's purpose with specific verbs ('Report a bug, missing feature, or send feedback') and a clear resource (feedback submission). It distinguishes itself from sibling tools like authenticate and connect, which serve entirely different functions. The scope is broad but unambiguous.
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 implies solid usage context: use when you need to report a bug or provide feedback. It gives explicit guidance to include the conversation array for reproduction, helping correct usage. It doesn't explicitly mention alternatives or when-not-to-use, but no sibling offers a similar capability, so exclusion isn't necessary.
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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