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

With no annotations and no output schema, the description carries the full burden. It discloses what data comes back (series plus baseline) but says nothing about the 'ENTERPRISE' gating, permissions, request size, cost, or rate limits — all of which are material for a bulk extraction tool.

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?

A single front-loaded sentence that leads with the tier tag and scope. No filler, though the terse phrasing packs several concepts (counties, year range, baseline) into one clause chain.

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 large enterprise data-dump tool with zero annotations, no output schema, and an undocumented parameter, the description omits volume/format expectations and access prerequisites. An agent can guess the gist but lacks what it needs to invoke this confidently.

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 0% for the single 'state' parameter, so the description is the only source of meaning. It says the extract is 'for a state' but gives no format guidance (abbreviation vs full name, FIPS code) to disambiguate the accepted value.

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 concrete verb (bulk extract) and resource (full projection series, all counties x 2025-2040, for a state, plus current-year baseline), which clearly distinguishes it from the narrower deathcare_projection sibling. It never names a sibling explicitly, so it stops short of full differentiation.

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 'bulk' and 'all counties x 2025-2040' framing implies this is the use-everything option versus per-geography projection tools, but no when-to-use condition or alternative tool is stated. Usage must be inferred from the scope wording.

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