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lzinga

US Government Open Data MCP

cdc_nutrition_obesity

Read-only

Retrieve adult obesity, physical inactivity, and fruit/vegetable consumption rates by state from BRFSS. Filter by state, topic, and record limit.

Instructions

Get adult obesity, physical inactivity, and fruit/vegetable consumption by state from BRFSS.\nTopics: 'Obesity', 'Physical Activity', 'Fruits and Vegetables'. Data by state, race, age, income, education.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
stateNoTwo-letter state code: 'NY', 'CA', 'TX'. Omit for all.
topicNo'Obesity', 'Physical Activity', 'Fruits and Vegetables'
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 tool is understood as read-only. The description adds context about the data source (BRFSS) and demographic breakdown, but does not disclose additional behavioral traits beyond what annotations provide.

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, front-loaded with purpose, no redundant words. Efficiently communicates the tool's function and scope.

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

Completeness3/5

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

No output schema is provided, so the description should hint at output structure. It mentions the data topics and demographic breakdown but lacks explicit field names or return format. Adequate but not comprehensive.

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 coverage is 100% with descriptions for all three parameters. The description lists topics but does not add significant meaning beyond the schema's parameter descriptions. Baseline 3 is appropriate.

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 retrieves adult obesity, physical inactivity, and fruit/vegetable consumption data by state from BRFSS, with topics listed. It distinguishes from sibling CDC tools like cdc_covid by specifying the health indicator niche and data source.

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 implies usage for obtaining nutrition/obesity data but does not explicitly state when to use this tool versus alternatives like cdc_query. No when-not-to-use or prerequisite conditions are provided.

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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