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

Annotations already declare readOnly/idempotent/non-destructive/closed-world, so the safety profile is covered. The description goes further and earns credit by disclosing provenance and content: the index derives from BLS QCEW private-sector employment 2022-2024, normals are NOAA 1991-2020, and it flags partial coverage of seasonal drivers ('where a public source supports them') plus per-claim sourcing.

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 dense sentences that front-load the capability and then the data provenance; the awkward 'Beside it:' transition costs a little but nothing is wasted or repetitive.

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?

No output schema exists, so the description must convey return content, and it does: a month-by-month employment index, NOAA temperature/degree-day/precipitation normals, and seasonal drivers, each with sources. Only the response shape/ordering remains unspecified, which is a minor gap for this tool's complexity.

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 100%, so the schema already documents state format, the list_trades id source for trade, and the region names. The description restates the region list and broadens the trade examples, which adds little beyond the schema; 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?

The description gives a specific verb+resource ('Show the busy and slow months') and pins down the exact scope: a home-service trade within a US state, a named NOAA climate region, or the whole country. That scope is distinct from the sibling tools (list_trades, service_area, review_request_timing), so an agent can route correctly without opening the 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?

It implicitly tells the agent the tool serves geography-scoped seasonality questions by enumerating the three geography options, but it never states when to prefer this over siblings, nor that list_trades should be called first to resolve a trade id (that hint lives only in the schema). Usage is implied rather than prescribed.

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