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

With no annotations, the description carries the full behavioral burden and does so well: it discloses data provenance (NFDI claims, FEMA NRI, storm events) and explicitly flags the geographic mismatch that NRI scores are county-level, not ZIP-level. The 'claims are history, not a forecast' warning is exactly the kind of interpretive guardrail an agent needs. It stops short of saying what happens for ZIPs with no claim history or how fresh the data is.

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?

Three sentences, front-loaded with the question the tool answers, followed by a tight enumeration of returned data and a single closing caveat. Every sentence earns its place and nothing is repeated.

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 must convey the return shape, and it does: claim count, payouts, recency, claims per 1,000 housing units, three NRI peril scores, and storm events. The only gap is behavior for ZIPs lacking claims data or with no recorded events.

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?

There is only one parameter and the schema already documents it at 100% coverage with a regex pattern for the 5-digit format. The description adds no format, validation, or edge-case guidance beyond what the schema provides, so the baseline of 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 definition names a specific resource (flood, wind and wind risk for a ZIP) and enumerates exactly what comes back: NFDI flood claims, FEMA National Resilience Index county scores, and recent significant storm events. That level of specificity clearly separates it from market-oriented siblings like get_zip_market and rent_trend.

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 phrasing implies the use case (a risk question about one ZIP), but it never says when to reach for this tool rather than compare_zips for a multi-ZIP comparison, nor does it state any preconditions. The closing caveat about claims being historical is useful framing but is not usage routing.

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