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lzinga

US Government Open Data MCP

cdc_places_city

Read-only

Retrieve city-level health indicators from CDC PLACES, including obesity, diabetes, smoking, depression, sleep, blood pressure, and mental health measures for every U.S. city with population over 50,000.

Instructions

Get city-level health indicators from CDC PLACES — obesity, diabetes, smoking, depression, sleep, blood pressure, mental health, and 30+ more measures for every U.S. city with population > 50,000. Each row contains ALL measures for a city as separate columns (e.g. obesity_crudeprev, diabetes_crudeprev).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
stateNoTwo-letter state code: 'NY', 'CA', 'TX'
cityNoCity name (partial match): 'Los Angeles', 'Chicago'
limitNoMax records (default 200)
Behavior4/5

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

Annotations indicate readOnlyHint=true, which is consistent. The description adds value by explaining output structure (each row contains ALL measures as separate columns), which goes beyond annotations. No contradictions.

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 and scope, followed by output structure. No extraneous information; 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?

The description covers purpose, scope, data content, and output shape, which is sufficient given the moderate complexity and absence of output schema. Minor omissions like pagination or default limit do not significantly hinder understanding.

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 clear parameter descriptions for state, city, and limit. The description does not add additional parameter details beyond the schema, so baseline score of 3 applies.

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 it gets city-level health indicators from CDC PLACES, specifically listing measures like obesity, diabetes, smoking, etc., and scopes to U.S. cities >50,000. This distinguishes it from sibling tools like cdc_places_health.

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 does not provide guidance on when to use this tool vs alternatives. It does not mention exclusions, prerequisites, or comparisons with other CDC tools, making it harder for an agent to select appropriately.

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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