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FEMA Disaster Declarations

fema.disaster.declarations
Read-onlyIdempotent

Search and filter US federal disaster declarations (1953–present) by state, incident type, or year. Returns disaster number, title, dates, and programs.

Instructions

Search US federal disaster declarations from 1953 to present. Filter by state, incident type (Fire, Flood, Hurricane, Tornado, Earthquake), and year. Returns disaster number, title, dates, designated programs (IA, PA, HM). Source: OpenFEMA (US Gov open data).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
stateNoUS state code (e.g. CA, TX, FL). Omit for all states.
incident_typeNoDisaster type to filter (e.g. Fire, Flood, Hurricane)
yearNoFilter by declaration year (1953-2026)
limitNoNumber of results (1-50, default 10)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultNoTool response payload. Shape varies per tool — consult the tool description and inputSchema. May be an object, array, string, or number depending on the upstream provider response.
errorNoPresent only when the call failed. Includes error code, message, request_id, and any provider-specific extras.
Behavior5/5

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

The description adds value beyond annotations by specifying the data source (OpenFEMA), date range, and return fields ('disaster number, title, dates, designated programs'). It does not contradict annotations (readOnlyHint=true, destructiveHint=false).

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences with no wasted words. The first sentence states purpose and filters; the second covers return fields and source. Information is front-loaded and easy to scan.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's moderate complexity (4 optional parameters, no required, output schema exists), the description covers purpose, filters, return values, and data source. It is complete for an agent to understand and invoke correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, so baseline is 3. The description adds value by mentioning specific incident types (though incomplete list) and return fields not in schema. It provides context for the 'limit' parameter implicitly but not explicitly.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool searches US federal disaster declarations from 1953 to present, listing specific filters (state, incident type, year) and return fields. It distinguishes from siblings like fema.disaster.assistance and fema.disaster.flood_claims by focusing on declarations.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description does not explicitly state when to use this tool versus alternatives, nor does it mention exclusions. It implies usage by listing filters but lacks explicit when-to-use guidance.

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

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