Debug Self verification errors with solutions

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

Annotations provide readOnlyHint=true, indicating this is a safe read operation. The description adds value by specifying it returns 'Detailed explanation of the problem and how to fix it,' which goes beyond annotations by describing output behavior. However, it doesn't disclose other traits like rate limits, auth needs, or error handling, relying on annotations for safety.

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 well-structured with clear sections: purpose statement, Args, and Returns. It's front-loaded with the core purpose. However, the 'Args:' and 'Returns:' labels are slightly redundant with the schema, and the context parameter explanation could be more concise, but overall it's efficient with minimal waste.

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's complexity (diagnostic with 2 parameters), annotations cover safety, and an output schema exists (implied by 'Returns:'), the description is reasonably complete. It explains the purpose, parameters, and return value. However, it lacks usage guidelines and deeper parameter semantics, which could improve completeness for a debugging 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 0%, so the description carries the burden. It lists parameters in 'Args:' with brief explanations: 'error_message: The error message you're encountering' and 'context: Optional hint about the error type.' This adds basic meaning beyond the schema's titles and enum, but doesn't detail format, examples, or how context enum values relate to error types, leaving gaps.

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 tool's purpose: 'Diagnose Self verification errors and provide solutions.' It specifies the verb ('diagnose') and resource ('Self verification errors'), but doesn't explicitly differentiate from sibling tools like 'explain_sdk_setup' or 'explain_self_integration' which might also address verification issues. The title reinforces this purpose but doesn't add differentiation.

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 provides no guidance on when to use this tool versus alternatives. It doesn't mention sibling tools like 'check_self_status' (which might check status without debugging) or 'explain_sdk_setup' (which might explain setup rather than errors). There's no context about prerequisites, error types, or exclusions, leaving usage unclear.

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