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

Annotations cover the safety profile (readOnly, idempotent, non-destructive), so the description must add context instead, and it does: it discloses the content scope (six enumerated duties from Opinion 512) and an important behavioral limitation (state rules vary, so always direct the user to their own jurisdiction). It does not discuss length/format beyond "short, general summary".

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 usage trigger, followed by scope and caveat in two tight sentences; every clause earns its place. Minor redundancy between the enumerated duty list and the enum values keeps it from a 5.

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 return-value burden and does so: it says what the answer contains (a short general summary of six named duties) and the required caveat. For a single-optional-param, read-only advisory tool, nothing an agent needs is missing.

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 is an enum with its own description, so the baseline is 3. The description's enumeration of the six duties loosely maps to the enum values but adds no syntax, default, or combination behavior beyond what the schema already states.

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 (explain), resource (AI ethics duties), and audience (U.S. lawyers), and pins the content to ABA Formal Opinion 512 with a date. An agent can immediately tell this apart from the sibling risk-scoring tools, which measure rather than explain.

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?

"Use when a U.S. lawyer asks what ethics duties apply to using generative AI" gives a clear triggering condition, and the jurisdiction caveat bounds when it should not be treated as authoritative. It does not explicitly name alternatives or state when-not-to-use, so it falls short of a 5.

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