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terranode-co

@terranode-co/mcp-server

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by terranode-co

enrich_location

Retrieve location attributes like county, flood zone, and school district for a given coordinate. Queries all datasets in one call without requiring a dataset ID.

Instructions

Get location attributes (county, flood zone, school district, etc.) for a coordinate. Queries all available datasets in one call and returns what matched. No dataset id needed — this is the simplest way to find out what's at a location. Optional radius expands the search area (meters). This is NOT a geocoder — it requires numeric coordinates, not addresses or place names.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
latYesLatitude in decimal degrees (WGS84). Example: 40.7128
lngYesLongitude in decimal degrees (WGS84). Example: -74.0060
radiusNoExpand search area by this radius in meters (max 500000). Omit for exact matches.
Behavior4/5

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

With no annotations, description discloses key behaviors: queries all datasets in one call, returns what matched, optional radius. Missing details on error handling or limits, but sufficient for typical use.

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?

Three sentences, each essential: purpose, usage note, and critical exclusion (geocoder). Front-loaded, no redundancy.

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?

Covers all essential aspects for a simple lookup tool with no output schema. Explains input, behavior, and what it returns. Could mention limits like max radius, but schema already provides that.

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%, so baseline is 3. Description adds minor context ('simplest way') but does not significantly enhance understanding beyond schema. No new constraints or formats.

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 location attributes'), specific resource ('location attributes'), and distinguishes from siblings by stating it's not a geocoder and doesn't need dataset id. Defines scope exactly.

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?

Explicitly states when to use ('simplest way') and when not ('NOT a geocoder'). Provides context on optional radius. Does not explicitly name alternative sibling tools but implies differentiation.

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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