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

Annotations already declare readOnlyHint, idempotentHint, non-destructive and closed-world, so safety is covered. The description adds real behavioral context beyond that: what the output contains (priority signal tiers and a work summary) and a caveat that results are research mappings rather than a product-specific determination, which sets expectations about the answer's authority.

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, front-loaded with the action and its input, followed by the return shape and a caveat. No redundancy, and the priority-tier enumeration is the kind of detail an agent cannot get from structured fields (there is no output schema).

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?

For a single-parameter, read-only lookup with no output schema, the description supplies the missing return-value semantics (priority tiers, summary), the caveat about interpretation, and confirms scope. Nothing an agent needs to call it correctly is absent.

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 single parameter documents its format, example ('coppa'), pattern and length. The description only restates the parameter's role ('Given a regulation id') without adding lookup syntax, accepted id source, or error behavior, so the baseline 3 applies.

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?

States a specific verb and resource ('return the compliance Controls that may satisfy [a regulation id]') and enumerates the returned payload fields (priority signal values, short summary). The scoping sentence ('research information about typical control mappings, not a determination that a given product needs them') implicitly separates it from the requirements/determination sibling, so an agent can tell what this is not.

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?

Usage is only implied through the framing 'Given a regulation id', which signals when the tool is callable but not when it should be preferred over siblings like lookup_regulation or compute_requirements. No explicit when-not-to-use or alternative routing is provided; 'Consult counsel for scoping' is legal advice, not tool guidance.

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