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

Annotations already establish read-only, idempotent, open-world, and non-destructive behavior. The description adds value beyond those annotations by disclosing the return outcome (blocking violations and warnings), emphasizing that inputs are caller-supplied, and flagging the $0.002 paid cost per call. No contradiction with annotations exists.

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?

Three sentences with no filler: the core behavior is first, followed by scope exclusions and cost. Every sentence contributes decision-relevant information, and the most important call-selection information is front-loaded.

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 covers intended use, exclusions, cost, and high-level return content, and the annotations provide safety context. However, with no output schema and no parameter-level descriptions, an agent still lacks clarity on the exact shape of facts, the rule evaluation semantics, and the response structure beyond 'blocking violations and warnings.'

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, but it only says facts and rules are 'caller-supplied.' It does not explain how facts map to rule fields, what the evaluation semantics are for operators, or how severity/message affect results. The schema documents structure, not meaning, and the description leaves the semantic burden mostly unmet.

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 states a specific action ('Evaluates caller-supplied facts against explicit caller-supplied rules') and a clear result ('returns blocking violations and warnings'). It narrows scope to execution safety / result unverifiable and excludes several adjacent domains, but it does not explicitly differentiate this tool from sibling policy engines such as execution_safety_policy_engine_40040417.

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 gives a positive use case ('Intended for execution safety / result unverifiable') and an explicit when-not list ('Do not use for legal, identity, sanctions, fraud, contractual, or regulatory adjudication'). It does not name specific alternative tools to route to, so it falls just short of fully explicit guidance.

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