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lzinga

US Government Open Data MCP

cdc_disability

Read-only

Retrieve disability prevalence data by U.S. state and disability type from the BRFSS survey. Filter by state, disability type, or result limit.

Instructions

Get disability prevalence by state and type from BRFSS survey. Types: 'Any Disability', 'Mobility Disability', 'Cognitive Disability', 'Hearing Disability', 'Vision Disability', 'Self-care Disability', 'Independent Living Disability', 'No Disability'

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
stateNoTwo-letter state code: 'NY', 'CA'. Omit for all.
disability_typeNo'Any Disability', 'Mobility Disability', 'Cognitive Disability', 'Hearing Disability', 'Vision Disability', 'Self-care Disability', 'Independent Living Disability'
limitNoMax records (default 200)
Behavior3/5

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

Annotations already declare readOnlyHint=true, so the read-only nature is clear. The description adds that the data comes from the BRFSS survey, providing a bit more context. However, it does not disclose other behavioral traits such as rate limits, data freshness, or pagination behavior.

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 extremely concise: two sentences with no wasted words. It is front-loaded with the main purpose and then lists the types. Every sentence earns its place.

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

Completeness4/5

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

Given the tool's simplicity and full schema coverage, the description is adequate. It explains what data is retrieved. However, there is no output schema, so mentioning the structure of the response (e.g., prevalence percentages) would improve completeness.

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

Parameters3/5

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

Schema description coverage is 100%, so the baseline is 3. The description lists the disability types, but this information is already present in the schema's disability_type parameter description. No additional meaning is added beyond what the schema provides.

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

Purpose4/5

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

The description clearly states the tool retrieves disability prevalence by state and type from the BRFSS survey. It specifies the verb 'Get' and the resource 'disability prevalence'. It does not explicitly differentiate from other CDC tools, but the name and description make the purpose clear.

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

Usage Guidelines2/5

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

The description provides no guidance on when to use this tool versus alternatives. It does not mention prerequisites, limitations, or when not to use it. For example, it does not clarify if this tool is superior to other CDC tools for disability data.

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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