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lzinga

US Government Open Data MCP

cdc_causes_of_death

Read-only

Retrieve leading causes of death in the U.S. by state and year, covering data from 1999 to 2017. Includes causes such as heart disease, cancer, and kidney disease.

Instructions

Get leading causes of death in the U.S. by state and year. Data from 1999–2017. Causes include heart disease, cancer, kidney disease, etc.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
stateNoFull state name: 'New York', 'California', 'Texas'. Omit for all states
yearNoYear (1999–2017). Omit for all years
limitNoMax records (default 200)
Behavior3/5

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

Annotations already declare readOnlyHint=true. Description adds data range and example causes but no additional behavioral traits (e.g., pagination, rate limits, or processing time). Adequate given annotations.

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, each earning its place. First communicates purpose, second adds data range and examples. No redundancy or excess.

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?

Tool is simple; description covers data source, time range, and examples. No output schema but return values are likely straightforward. Might slightly benefit from clarifying 'top' or 'leading' criteria, but generally complete.

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?

Input schema covers all 3 parameters with descriptions (100% coverage). Description does not add extra meaning beyond what the schema provides. Baseline score of 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?

Clear verb 'Get', specific resource 'leading causes of death', scope 'U.S. by state and year'. Distinguishes from sibling CDC tools by focusing on leading causes. Includes data range and examples.

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?

Provides data range (1999–2017) and example causes, but lacks explicit guidance on when to use this tool vs. other death-related CDC tools like cdc_mortality_rates. No when-not-to-use or alternatives mentioned.

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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