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TerraMCP

by earth.terramcp
OverviewDiscussionsAdmin

planning_entities

Read-only

Find England planning dataset entities intersecting a bounded WGS84 box around a point, including conservation areas, listed buildings, Article 4 directions and flood risk zones. Dataset OGL terms are checked and attribution retained. Coverage may be incomplete; this is not a planning determination. Returns source data and provenance; supported hydrological units are normalised to SI. TerraMCP is a Wrench AI service. Open data: no API key or signup required. Anonymous limits: 60 calls/hour and 300/day per IP and session; keys offer higher limits, with anonymous fallback after monthly quota. Source licence warnings apply.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "lat": "<lat>",
      "lon": "<lon>"
    },
    "name": "planning_entities"
  }
}

Input Schema

NameRequiredDescriptionDefault
latYesConfirmed WGS84 latitude in decimal degrees; pair with lon.
lonYesConfirmed WGS84 longitude in decimal degrees; pair with lat.
limitNoMaximum number of results to return; bounded by this tool's schema.
datasetNoDataset identifier from the allowed values in this schema.conservation-area
radius_kmNoSearch radius in kilometres; spatial tools use a bounding box around the point.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior5/5

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

With annotations only covering the safety profile (readOnly, openWorld, non-idempotent, non-destructive), the description carries a lot of extra behavioral weight: licence terms checked and attribution retained, incomplete coverage caveat, provenance returned, SI normalisation of hydrological units, and concrete rate limits (60/hour, 300/day per IP and session) with anonymous fallback after quota. This is information an agent cannot get from the schema.

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

Conciseness3/5

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

The core spatial purpose is front-loaded, which is good, but the paragraph is padded with material that does not help select or invoke the tool, notably 'TerraMCP is a Wrench AI service' and the closing source-licence remark. The quota and licence sentences do earn their place; the branding does not.

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 five-parameter read-only spatial lookup with no output schema, the description covers what an agent needs: what is searched, the spatial semantics, what is returned (source data and provenance), the normalisation applied, the incompleteness caveat, and the authentication/rate-limit regime.

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 schema already documents lat, lon, limit, dataset and radius_km with bounds and enums. The description adds only the bounding-box vs radius framing, which the schema's radius_km description already states. Baseline 3 applies.

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 names a specific verb and resource ('Find England planning dataset entities intersecting a bounded WGS84 box around a point') and enumerates the datasets covered, so an agent knows exactly what comes back. It does not explicitly distinguish itself from overlapping siblings such as flood_zone_at_point or ea_flood_features, which also serve flood data, so it stops short of a 5.

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 rather than stated: the agent learns this is open data needing no key, is rate limited, and is 'not a planning determination', but there is no explicit guidance on when to choose this tool over the sibling flood/designated-site tools. No alternatives or exclusion conditions are named.

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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