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

Annotations already cover read-only and closed-world, and the description adds genuine value beyond them: the shape of each returned item (issue + official source link + owning ALK desk) and a 'not legal advice' disclaimer that matters for how the agent relays results. Marking it 'Likely' also signals heuristic rather than authoritative output. It does not say what happens on no-match or how results are ordered, keeping it off a 5.

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?

Front-loaded with the scope and rule list in a single dense sentence, followed by two short clauses covering return shape and the disclaimer. Every sentence earns its place, though the acronym-heavy rule enumeration (CPSIA, PFAS, EPR) is packed tightly enough to slow a first read.

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?

With no output schema, the description carries the burden of describing returns and does so ('potential issue with an official source link and the ALK desk that fixes it'), plus a scope disclaimer. Complete enough to call correctly; only the empty-result and coverage-limit behavior are unstated.

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 schema already defines all six parameters including the boolean flags. The description mentions the PFAS, children's-product, and packaging EPR rule families, which loosely hints at what the corresponding booleans unlock, but it never explains parameter semantics directly. Baseline 3 is appropriate.

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 combination ('Likely US product compliance rules for a product sold into a US state or market') and then enumerates the exact rule domains covered: CPSIA certificates, Prop 65, Minnesota PFAS, and packaging EPR in Oregon/Colorado/California. An agent immediately knows what it will get back and can distinguish it from the unrelated siblings (federal_award_deadlines, form_5500_check, list_desks).

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 framing 'for a product sold into a US state or market' plus the required state/product_type parameters makes the triggering context clear. 'Likely' and 'each item is a potential issue' correctly set expectations that this is a screening pass, not a definitive answer. It stops short of explicit when-not guidance (e.g., non-US markets, non-product questions), so it is not a 5.

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