generate_safe_fallback

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It states the tool generates 'safe, compliant' responses for unauthorized operations, implying it's a fallback mechanism rather than performing the actual operation. However, it doesn't disclose details like response format, whether it logs the attempt, rate limits, or authentication requirements. It adds some context but leaves behavioral aspects underspecified.

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 efficiently structured: first sentence states the purpose, second provides usage guidelines, followed by clear 'Args:' and 'Returns:' sections. Every sentence earns its place with no redundant information. It's appropriately sized for a tool with 2 parameters and a straightforward purpose.

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 moderate complexity (2 parameters, no annotations, but with output schema), the description is reasonably complete. It explains purpose, usage, parameters, and return value. The output schema exists, so the description doesn't need to detail return values. However, for a security/compliance tool, additional behavioral context (like logging or audit trails) would enhance completeness.

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?

The schema description coverage is 0%, so the description must compensate. It provides semantic meaning for both parameters: 'question_type: Type of unauthorized operation (synthesis, explanation, etc.)' and 'document_title: Title of the document for the fallback message.' This clarifies what each parameter represents, though it doesn't specify allowed values or formats. Since there are only 2 parameters and both are documented, this is above baseline.

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: 'Generate a safe, compliant response when query requires unauthorized operations.' It specifies the verb ('generate'), resource ('safe, compliant response'), and context ('when query requires unauthorized operations'). This distinguishes it from sibling tools like audit_cognitive_operations (which detects violations) and others focused on analysis or validation.

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 when audit_cognitive_operations returns violations.' It provides a clear trigger condition and references a specific sibling tool as the alternative/predecessor. This gives the agent precise guidance on the tool's intended context.

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