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

Annotations already declare readOnly, idempotent, non-destructive and closed-world, so the safety profile is covered. The description adds what the annotations cannot: that the payload is a curated set of concrete requirements rather than source documents or a case lookup, plus the topical scope of that content. It stops short of saying whether the checklist is static reference content or reflects a specific version/date of the law, which is the one behavioral detail an agent might still want.

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?

The content scope is front-loaded well, but the second paragraph is largely redundant: 'Use this when someone asks what Law 25 requires' repeats the first sentence almost verbatim, and the 'Use when:' / 'Do not use when:' scaffolding produces duplication rather than added signal. Only the PIPEDA exclusion in the final line is genuinely new information.

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 one-optional-parameter read tool with a full output schema and complete annotation coverage, the description supplies everything needed to select and invoke it correctly. The only residual gap is whether the checklist is version-pinned reference material, a minor omission given the tool's simplicity.

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 coverage is 100% and the single 'category' parameter carries its own description and a ten-value enum, so the schema does the heavy lifting. The description adds only a light restatement ('Optionally filter to one category like Consent or Incident response'), which confirms the filter is optional but contributes no new semantics about enum values or default behavior — baseline 3 fits.

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 opens with a concrete verb and resource — 'Get the Quebec Law 25 compliance checklist' — then enumerates the substantive areas covered (privacy officer, consent, cross-border transfers, breach notification, minors' data, automated decisions, complaint paths). That enumeration lets an agent judge topical fit without opening the schema, and the PIPEDA exclusion separates it from the federal-privacy siblings.

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?

It gives explicit positive triggers ('what Law 25 requires', 'how to comply', 'gap-assessment checklist') and an explicit negative case ('Do not use when someone asks about a federal PIPEDA term or case alone'), routing that traffic to the enforcement-action and glossary siblings. Both when and when-not are stated outright.

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