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

Annotations already signal readOnly and idempotent. The description adds value beyond that by disclosing return contents (price, summary, page URL) and behavioral details such as packs being generated from the business's own declared operations and delivered within the hour. No contradiction with annotations.

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, each earning its place: the first states the core listing behavior, the second adds distinct product context, and the third gives output fields and usage triggers. Front-loaded and free of filler.

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 parameterless read-only list tool, the description is complete: it names the scope, topics, generation method, delivery time, return fields, and the queries this tool should satisfy. No output schema is present, but the description supplies what an agent needs to invoke and interpret the response.

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?

The tool has zero parameters, so schema coverage is complete by default. Per the rubric, 0 params earns a baseline of 4. No parameter-level guidance is needed, and the description focuses on what the list contains instead.

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: 'Lists every Clausely compliance documentation pack for UK SMEs.' Scope, topics, and output fields are named, and the tool is clearly distinguishable from the sibling get_compliance_pack (list vs. single) and list_blog_articles (packs vs. articles).

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?

Gives explicit trigger conditions: 'Use this when someone asks what UK compliance documentation exists, what it costs, or which pack fits their situation.' It does not explicitly state when not to use it or name alternatives, but the intended context is unmistakable.

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