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elephant-xyz

Elephant MCP Server

by elephant-xyz

Analyze Overture place co-location

analyzePlaceColocation

Provides diagnostic occupied-grid-cell evidence for a taxonomy pair in a county, returning spatial and semantic similarity metrics for colocation analysis.

Instructions

Return bounded diagnostic occupied-grid-cell evidence for one exact unordered taxonomy_primary pair in one published county. Spatial evidence is deterministic and uses a fixed-global-origin equirectangular grid plus 199 geography-and-density-conditioned permutations. Semantic evidence uses raw cosine distance over canonical category/hierarchy gloss embeddings, but this single-pair tool does not fabricate the full eligible-universe calibrated percentile. discoverPlaceColocationCandidates is the publishable Class H source unless separate auditable percentile evidence exists. Embedding failure preserves spatial evidence with semanticDistance.value=null. This tool never makes a publish decision.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.12.1

TDQS

A4.7/5.0
Behavior5/5

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

With no annotations, the description carries the full burden, and it delivers: it explains deterministic spatial evidence, the equirectangular grid and 199 permutations, raw cosine semantic evidence, the lack of a calibrated percentile, and the embedding-failure edge case preserving spatial evidence with semanticDistance.value=null. It also states clearly that the tool never makes a publish decision.

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?

Every sentence carries distinct information: purpose, methodology, sibling distinction, edge-case behavior, and safety boundary. The description is dense but not bloated, and the core purpose is front-loaded.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a zero-parameter diagnostic tool with no annotations and no output schema, the description covers what is returned, how it is computed, the key edge case, the relationship to the publishable sibling, and the tool's non-decision authority. Nothing essential is missing.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool has zero parameters, so parameter ambiguity is not an issue and the baseline is 4. The description reinforces that the tool is intentionally narrow (one pair, one county) rather than a general configurable API.

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 description names a specific verb ('Return'), a specific resource ('bounded diagnostic occupied-grid-cell evidence'), and an exact scope ('one exact unordered taxonomy_primary pair in one published county'). It also distinguishes itself from the sibling discoverPlaceColocationCandidates by explicitly stating it is not the publishable source.

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?

The description clearly implies when this tool is appropriate: for diagnostic, bounded, non-publishable evidence. It explicitly names discoverPlaceColocationCandidates as the publishable Class H source, which provides a strong routing signal, though it stops short of an explicit 'use this when, use that when' formulation.

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