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lzinga

US Government Open Data MCP

by lzinga

cdc_birth_indicators

Read-onlyIdempotent

Retrieve quarterly provisional birth indicators—fertility, teen birth, preterm, cesarean, low birthweight, NICU, Medicaid—filtered by race and ethnicity.

Instructions

Get quarterly provisional birth indicators: fertility rates, teen birth rates, \npreterm birth rates, cesarean delivery rates, low birthweight — by race/ethnicity.\nTopics: 'General Fertility', 'Teen Birth', 'Preterm', 'Cesarean', 'Low Birthweight', 'NICU', 'Medicaid'

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMax records (default 200)
topicNo'General Fertility', 'Teen Birth', 'Preterm', 'Cesarean', 'Low Birthweight', 'NICU', 'Medicaid'
race_ethnicityNo'All races and origins', 'Hispanic', 'Non-Hispanic Black', 'Non-Hispanic White', 'Non-Hispanic Asian'

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changedv2026.9.14
    • addedInput schema / properties / limit / default
      Added value: +200
  2. Changed1 schema field changedv2026.4.11
    • removedInput schema / additionalProperties
      Removed value: -false
  3. First observedv2026.3.9

TDQS

A3.7/5.0
Behavior3/5

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

Annotations already cover read-only, idempotent, and non-destructive behavior, so the safety profile is established. The description adds useful context with 'quarterly provisional' and grouping by race/ethnicity, but it does not disclose how omitted parameters behave or what data window is returned. There is no contradiction with the annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is compact and front-loads the core action and resource before enumerating topics. The first sentence lists several indicators and the second repeats overlapping topic labels, which is a minor redundancy, but the overall structure has no filler.

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?

For a read-only query tool with three optional parameters and no output schema, the description plus schema covers the essentials: the resource, topic choices, and race/ethnicity filtering. It does not describe default behavior when all parameters are omitted or the response shape, but that is a minor gap given the simple schema and openWorldHint.

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?

The input schema already documents all three parameters with 100% coverage, so the baseline is 3. The description mostly repeats the topic list and names race/ethnicity as a grouping dimension without adding accepted-value details or interaction rules beyond what the schema provides.

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 opening phrase 'Get quarterly provisional birth indicators' states a concrete verb and resource, and the indicator list (fertility, teen birth, preterm, cesarean, low birthweight) makes the tool's scope immediately clear. It is easy to distinguish from CDC mortality/life-expectancy siblings because the topic is specifically birth-related. The enumerated topic values further remove ambiguity.

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 use for birth and fertility indicators, but it provides no when-to-use or when-not-to-use guidance and does not reference alternatives such as cdc_life_expectancy or cdc_mortality_rates. An agent must infer the appropriate context from the name and topic list rather than being explicitly directed.

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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