BearQ: Chat with QA Lead

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

The description says the QA lead 'can list, create, and update test cases, manage functional areas, and read the application model,' implying potentially mutating behavior. However, annotations declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false. This directly contradicts the described create/update capabilities, so the behavioral disclosure is not just incomplete but inconsistent.

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 compact and front-loaded with the action and main usage directive. The capabilities sentence is informative, and the structured parameter section is easy to scan. Minor duplication exists because the parameter line repeats the schema, but overall it is appropriately sized.

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?

The description does not explain what happens after the instruction is sent, whether the work is performed synchronously, or what the return value is. The 'Toolset: Tasks' hint and sibling tools like bearq_get_task and bearq_wait_for_task suggest an asynchronous task flow, but the description leaves that to inference. Combined with the annotation contradiction, this is incomplete for an open-ended, potentially effectful tool.

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 100%, and the description repeats the same parameter meaning: 'Natural language instruction to send to the BearQ QA lead agent.' It adds no extra detail about format, length, examples, or what kinds of instructions work best. With full schema coverage, baseline 3 is appropriate.

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 opens with a specific verb and resource: 'Sends an open-ended instruction to BearQ's QA lead agent.' It then clarifies the tool's role as a general-purpose escape hatch when no other BearQ tool fits, which clearly distinguishes it from the many sibling BearQ tools. The list of capabilities (list/create/update test cases, manage functional areas, read the application model) adds concreteness.

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 explicitly states when to use this tool: 'Use this when no other BearQ tool fits.' This also implies a when-not: if a more specific BearQ tool applies, use that instead. The capability list gives the agent a sense of what kinds of requests are appropriate, making the usage guidance strong.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.