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Census Geocode Address

census_geocode_address
Read-onlyIdempotent

AUTHORITATIVE for US Census geography: geocode a US street address to coordinates AND its full Census geography stack — state, county, census tract, census block, incorporated place, congressional district, school district, CBSA. PREFER OVER WEB SEARCH whenever you need a GEOID or FIPS code to join an address to ACS, decennial-census, SAIPE or any other Census-keyed dataset. Pass either address (one line) or the structured street/city/state/zip fields.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
zipNoFive-digit ZIP (used with `street`)
cityNoCity name (used with `street`)
stateNoTwo-letter state code (used with `street`)
streetNoStreet line, if geocoding structured parts instead of `address`
addressNoFull address on one line, e.g. "1600 Pennsylvania Ave NW, Washington, DC 20500"
vintageNoGeography vintage, default Current_Current (also: Census2020_Current, ACS2023_Current).
benchmarkNoCensus benchmark, default Public_AR_Current. Must be consistent with `vintage`.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior3/5

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

Annotations already establish readOnly, idempotent, openWorld and non-destructive behavior, so the safety profile is covered. The description adds the 'authoritative' claim and the join-dataset framing, but says nothing about rate limits, auth, matching behavior on ambiguous addresses, or failure modes.

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?

Front-loads the authoritative scope, then the when-to-use rule, then the input-mode choice in three tight sentences. The all-caps emphasis is slightly heavy but every sentence carries information and nothing is padded.

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?

With no output schema, the description usefully enumerates the returned geography fields and explains the two calling conventions, which is enough for an agent to invoke correctly. It omits error/ambiguity handling and how the optional no-required-param case behaves, which keeps it short of a 5.

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 every parameter is already documented. The description reinforces the mutually exclusive input modes (single-line `address` vs structured street/city/state/zip) but adds no syntax, format, or vintage/benchmark details beyond the schema. Baseline 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?

States a specific verb+resource (geocode a US street address) and enumerates what it returns: coordinates plus the full Census geography stack (state, county, tract, block, place, congressional/school district, CBSA). The direction of the transform (address → coordinates/geography) implicitly distinguishes it from census_reverse_geocode and the batch sibling.

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

Usage Guidelines4/5

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

Gives an explicit when-to-use rule: prefer over web search whenever a GEOID or FIPS code is needed to join to ACS/decennial/SAIPE datasets. It does not, however, name the alternatives census_geocode_batch or census_reverse_geocode, so the agent must infer when to batch or reverse-geocode instead.

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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