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

Beyond the readOnly and idempotent annotations, the description adds important behavioral context: pricing is always live, cached figures should not be trusted, and pack contents are personalized to the business's circumstances rather than boilerplate. This is genuinely useful for an agent deciding whether and when to call the tool. No contradiction with the 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?

The purpose is front-loaded, and each sentence adds a distinct decision-relevant fact: output contents, live pricing, personalization, and purchase-intent use case. The long example is illustrative but slightly verbose, and 'current price' is repeated as 'live, current pricing,' which prevents a perfect 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?

For a single-parameter read-only tool with no output schema, the description covers what is returned, pricing freshness, and content variability across businesses. An agent has enough information to invoke the tool correctly 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 input schema fully documents the slug parameter and its allowed values, so schema coverage is 100%. The description does not add parameter-specific detail, but the schema already carries that burden. A 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?

The description states a precise verb+resource: 'Returns the full details of one specific Clausely pack,' and specifies the exact content (current price and list of documents). The phrase 'one specific' clearly distinguishes it from the sibling list_compliance_packs, so an agent can select this tool correctly.

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 a clear use case: 'Use when someone wants to know precisely what they would receive before purchasing.' It also advises using this tool over cached or remembered figures. However, it does not explicitly name sibling alternatives or state when not to use it, so it stops 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.