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

Annotations already cover read-only/idempotent/non-destructive safety. The description adds non-obvious behavior: the quality bar, the error-on-low-quality condition, the cost ($0.10), and the make-up of the pack. This is genuinely useful beyond annotations, though it could specify the error type or failure mode.

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 description is compact and front-loaded, putting the quality threshold and error behavior in the first sentence before the usage hint and cost. The slug example is slightly redundant with the schema's slug description but the overall is tight.

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 basic invocation, a single required slug and the presence of an output schema make the definition workable. But the three optional parameters are semantically opaque, so an agent cannot reason about date filtering, peer/similar meaning, or defaults beyond the schema's numeric defaults; that gap keeps it from being complete.

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 only 25%: only slug is documented, while date, peers, and similar have no description. The tool description repeats the slug example already present in the schema and offers no meaning for the optional parameters or date format, so it does not compensate for the low coverage.

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 identifies a specific deliverable—an S-tier notable pack with explicit quality thresholds (score≥85, timeline≥8, image, embedding)—and differentiates it from the standard notable_pack via the 'premium' quality guarantee. It lacks an explicit action verb like 'returns' or 'fetches', but the purpose is unambiguous.

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 states exactly when to use it: 'Use when you need high-quality, complete notable context.' It does not name alternative sibling tools or say when not to use it, and 'errors if below bar' communicates a data-quality constraint rather than an explicit exclusion, so it falls just 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.