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get_disaster_declarations

Get FEMA disaster declarations filtered by state, year, or type.

Returns federal disaster declarations including major disasters,
emergencies, and fire management assistance. Each record includes
the disaster number, title, declaration date, and affected area.

Args:
    state: Two-letter US state abbreviation (e.g. 'CA', 'TX', 'FL').
    year: Filter by fiscal year of the declaration (e.g. 2023).
    disaster_type: Declaration type code: 'DR' (major disaster),
        'EM' (emergency), or 'FM' (fire management assistance).
    limit: Maximum number of records to return (default 25, max 1000).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
yearNo
limitNo
stateNo
disaster_typeNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

TDQS

A4.6/5.0
Behavior4/5

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

With no annotations, the description carries the burden. It explains the read-only nature via 'Get' and includes behavioral details such as the default and maximum limit. It also specifies the type of records returned, but does not mention authentication, pagination, or error conditions, which would make it more transparent.

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?

The description is concise and well-structured: a one-line summary, a brief explanatory paragraph, and a clear Args list. Every sentence provides necessary information without waste.

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?

The description covers the tool's purpose, all parameter semantics, and record contents. Given the output schema exists, return format is already available. This is sufficiently complete for an agent to select and invoke the tool correctly, even without explicit alternative tool guidance.

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

Parameters5/5

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

Schema description coverage is 0%, yet the description thoroughly documents each parameter with examples and accepted values (e.g., state abbreviations, disaster_type codes, limit range). This fully compensates for the schema's lack of descriptions.

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 opens with 'Get FEMA disaster declarations filtered by state, year, or type,' clearly identifying the operation and resource. It also specifies it returns major disasters, emergencies, and fire management assistance, distinguishing it from sibling tools like get_disaster_detail or grants.

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

Usage Guidelines4/5

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

The description provides clear context that this tool returns a filtered list of declarations, and explains the available filters. However, it does not explicitly mention when to prefer this over sibling tools or any exclusions, though the scope is implied by the listing nature.

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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TDQS

A4.4/5.0
Disambiguation5/5

Each tool targets a distinct resource: declarations list, single declaration detail, and three separate assistance programs (HMGP, IHP, PA). The differentiation between declaration metadata and assistance data is clear, and the three assistance tools are distinguishable by their program-specific descriptions.

Naming Consistency5/5

All tool names follow the same verb_non ('get_') pattern with a clear noun descriptor, making the API predictable. There are no mixed conventions or vague verbs.

Tool Count5/5

With 5 tools, the count is well-scoped for a read-only FEMA data retrieval server. Each tool covers a major data category, and the count feels neither thin nor bloated.

Completeness4/5

The core domain of FEMA disasters is well-covered with declarations, detail, and the three main assistance programs. Minor gaps exist, such as no year filter on assistance queries or other FEMA datasets, but these do not severely hinder core workflows.

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