usda_nass_get_acreage_forecasts

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

Annotations already declare readOnly, idempotent, non-destructive, open-world access, so the safety profile is covered. The description goes beyond that by disclosing the return ordering ('oldest first', then 'load_time', then utilisation), the fact that each row carries a reference_period_desc, and which report types are included — genuinely useful behavioral context. It says nothing about authentication, rate limits, or empty-result behavior, which keeps it short of 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?

Purpose is front-loaded in the first sentence, followed by scope detail, then a clean Args block. The prose is slightly dense and repeats sibling relationships, but with 0% schema coverage the Args block earns its space. No filler sentences.

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 read-only, four-parameter time-series tool with no output schema, the definition covers purpose, scope boundaries, ordering, row identity (reference_period_desc), and every parameter's meaning. It stops short of describing the full row shape (units fields, value columns) or pagination, which an agent would otherwise need to guess.

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 0%, so the description must carry the load, and its Args block does: commodity is mapped to upstream commodity_desc with concrete examples, year to crop year, statistic to the two upstream statisticcat_desc values, and state to a two-letter code with the crucial note that None returns the national series. The main gap is that it doesn't warn that state must come from a fixed enumeration (which includes non-obvious codes) or address casing, so 4 rather than 5.

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 resource and scope: in-season acreage reports for a crop and year, expressed in acres and returned oldest first. It explicitly carves out what it is not — 'Every report except the final figure' — and names get_acreage as the sibling holding that final figure, so an agent can distinguish the two without opening either 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?

The description makes the selection criterion between this tool and get_acreage clear: this one returns the in-season series (March prospective plantings, June acreage, monthly forecasts), while the final figure lives elsewhere. It also notes that the same fixed filters apply, so the series is comparable. What's missing is an explicit 'use X when you want the final number' directive, so routing is inferable rather than stated.

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