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

With no annotations provided, the description carries the full burden. It discloses key behavioral constraints: 'currently only 2022 available,' the default and maximum for limit 'default 50, max 500,' and what data is returned (overall SVI and four themes). It does not mention authentication, rate limits, or pagination, but for a read-only data retrieval tool these are less critical. The explicit year limitation and limit behavior add meaningful context beyond the schema.

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 efficiently structured: a one-sentence purpose, one sentence on return value, a use-case sentence, and a compact Args list. Every sentence adds value, and the format is front-loaded with the verb and resource. No redundancy or fluff.

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?

Given that an output schema exists (which covers return structure), the description adequately covers purpose, usage context, parameter semantics, and constraints. It explains what the tool does, what data it returns, when to use it, and all parameter details. The only minor omissions (pagination/error handling) are not critical for a data retrieval tool of this simplicity, and the output schema likely covers return details.

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?

The schema provides no descriptions (0% coverage), so the description fully compensates. Each parameter is explained with examples: state ('e.g. 'WA', 'CA''), county_fips ('5-digit county FIPS code (e.g. '53033' for King County, WA)'), year ('default 2022, currently only 2022 available'), and limit ('default 50, max 500'). This adds significant meaning not present in the schema.

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 clearly states the tool 'Get tract-level CDC Social Vulnerability Index data within a county' and specifies it 'Returns overall SVI and all four theme percentile rankings for each census tract.' This distinguishes it from sibling tools like get_county_svi (county-level) and get_most_vulnerable (ranking) by explicitly focusing on tract-level granularity within a county.

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 provides a clear use case: 'Useful for identifying sub-county areas of high vulnerability.' It implicitly differentiates from county-level tools by specifying 'tract-level' and 'within a county,' but it does not explicitly name alternative sibling tools or state when not to use this tool. This meets the 'clear context' bar but falls short of explicit exclusions.

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