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census-geocoding-mcp

by hesscl

batch_geocode_geographies

Geocode up to 10,000 addresses at once and return Census state, county, tract, and block geographies via CSV or structured array.

Instructions

Batch geocode up to 10,000 addresses AND return associated Census geographies (State, County, Tract, Block Codes). Provide addresses as raw CSV or structured array. CSV format: UniqueID,Street,City,State,ZIP. Returns a CSV with: Record ID, Input Address, Match Indicator, Match Type, Output Address, Coordinates, Tigerline ID, Tigerline Side, State Code, County Code, Tract Code, Block Code.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
vintageNoVintage name or ID (default: "Current_Current")
addressesNoArray of address objects. Ignored if csv_content is provided.
benchmarkNoBenchmark name or ID (default: "Public_AR_Current")
csv_contentNoRaw CSV content. Each row: UniqueID,Street,City,State,ZIP. For PR addresses with Urbanization: UniqueID,Street,Municipio,State,ZIP,Urbanization. Takes precedence over the addresses array.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.1

TDQS

A3.7/5.0
Behavior4/5

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

With no annotations, the description carries the full behavioral burden and does well: it discloses the record limit, the CSV column contract, and the precedence rule that csv_content overrides addresses. It stops short of permissions, error/partial-match handling, or rate limits, which matter for a 10k-record batch call.

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?

Three dense sentences, front-loaded with the capability and limit, then input format, then return format. Every sentence carries information, though the return-field list is long and could be tightened.

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?

There is no output schema, so the description properly enumerates the returned CSV columns, and it covers both input shapes plus the precedence rule and the batch ceiling. Only the response/error semantics for unmatched addresses are left unaddressed.

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 the baseline is 3. The description adds the CSV column ordering and the PR Urbanization variant beyond what the schema states, but it does not explain the vintage or benchmark defaults that the schema itself documents only lightly.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific verb and resource plus scope: batch geocode up to 10,000 addresses and return Census geographies, with the exact geography levels named (State, County, Tract, Block). It implicitly separates itself from single-address siblings, but never names an alternative tool, so an agent must infer the batch/one-line split from the name alone.

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?

Usage context is implied by scope and by the two accepted input shapes (raw CSV or structured array), and the 10,000 record ceiling is stated. There is no explicit when-to-use versus when-not guidance and no mention of the other batch siblings (batch_geocode_locations, batch_geolookup_coordinates), so selection between them is left to inference.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.