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

Annotations already establish read-only, open-world, and idempotent behavior. The description adds value by disclosing that it accepts both raw responses and structured reports, and that it returns compliance analysis with severity scoring and mitigation recommendations. This exceeds the baseline but doesn't detail async behavior or potential side effects, though those are less critical given the read-only hint.

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 sentences, no redundant information, key details front-loaded. It states purpose, target audience, inputs, and outputs efficiently.

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 rich schema and output schema, the description is quite complete. It covers purpose, audience, inputs, and outputs. However, it doesn't mention async behavior or the severity threshold parameter, and the 'structured breach reports' phrase could be clearer. Overall adequate for the tool's complexity.

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%, so the baseline is 3. The description mentions 'structured breach reports' which is not clearly mapped to a parameter (llmOutput is raw text), causing slight ambiguity, but otherwise it adds no extra semantics beyond the schema. It doesn't compensate beyond the 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 function: analyzing LLM guardrail breaches against IEEE 7000 standards. It specifies the target user (risk persona) and the input types (raw LLM responses or structured breach reports), distinguishing it from generic analysis tools and siblings like jailbreak_attempt_detector.

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 clear context: it is designed for risk persona evaluating safety violations in AI outputs, and mentions the acceptable input formats. However, it does not explicitly state when to avoid this tool or name alternative tools, so it lacks exclusions.

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