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

Annotations already declare read-only, idempotent, open-world, non-destructive semantics. The description adds genuine behavior beyond them: it filters to stations that "actually hold data" for the dataset/date range (not just proximity) and discloses what comes back. No auth, rate-limit, or pagination detail, so not a 5.

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?

Two sentences, zero waste, with the core capability front-loaded and the usage hint trailing. Every clause earns its place.

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 return-value disclosure and does so (period of record, reported elements). Combined with the workflow hint to ncei_daily_summaries, an agent has everything needed to call it correctly.

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 every parameter (bbox, limit, dataset, dates, dataTypes) is already documented with format and defaults in the schema. The description only restates bbox/dataset/date-range at a high level and adds no format or constraint detail beyond it, so the baseline 3 applies.

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 (Find) and resource (NOAA weather stations) with a precise scope: inside a bounding box that actually hold data for a given dataset and date range. It even previews the return shape (period of record, reported elements), letting an agent distinguish it from ncei_search_datasets and ncei_daily_summaries without opening any schema.

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?

Explicitly routes the agent: "Use this to get the station id that ncei_daily_summaries needs," naming the downstream sibling and the reason to call this first. It lacks an explicit counter-case (e.g. when to use ncei_search_datasets instead), so it stops short of a full when/when-not pairing.

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