gisgp

assess_protected_area_proximity

US protected/conservation area proximity via USGS PAD-US (public domain, commercial-use OK — unlike Protected Planet/WDPA, whose API explicitly forbids commercial-entity use). Reports whether the point falls inside/near (2 mile radius) a federally-tracked protected area: name, managing agency, designation type, public access. US-only. Returns JSON: {ok, count, areas, source, note}.

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": {
      "lon": "<lon>",
      "lat": "<lat>"
    },
    "name": "assess_protected_area_proximity"
  }
}

Input Schema

Name	Required	Description	Default
`lat`	Yes
`lon`	Yes

Output Schema

Name	Required	Description	Default
`result`	Yes

Schema Changelog

Changes observed during successful MCP inspections.

AddedJul 29, 2026

TDQS

A4/5.0

Behavior4/5

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

No annotations are provided, so the description carries the full load. It discloses the tool is a read operation (no destructive action), specifies the 2-mile radius buffer, and describes the JSON output structure with fields like ok, count, areas, source, and note. It could mention authentication or rate limits, but for a simple coordinate query, the transparency is strong.

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?

The description is moderately sized with several sentences, but it is well-structured: it begins with the core purpose, adds legal context, then details behavior and output. Every sentence adds value, though it could be slightly more concise (e.g., removing the return format list if the output schema is sufficient). Overall, it is clear and organized.

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?

Given the tool's low complexity (2 parameters, no nests, with an output schema), the description covers geographic scope, data source licensing, proximity radius, and return fields. It does not address error handling or coordinate system assumptions, but for typical agent usage, the provided information is sufficient.

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

Parameters2/5

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

The schema coverage is 0% (no parameter descriptions in the schema), so the description must explain the parameters. It does not explicitly mention 'lat' and 'lon' or their units; it only implies coordinate input through the context of 'point'. The parameter names are self-explanatory, but the description lacks additional semantic value beyond the schema itself.

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 clearly states the tool assesses US protected/conservation area proximity using USGS PAD-US data, reporting whether a point falls inside/near a 2-mile radius of a federally-tracked protected area. It lists specific output fields (name, managing agency, etc.), which distinctly differentiates it from sibling tools like assess_wildfire_risk or assess_ev_charging_site.

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 explicitly states 'US-only' and highlights that the data source (PAD-US) is public domain and commercial-use OK, contrasting it with Protected Planet/WDPA. This provides clear context for when to use this tool (US commercial applications) and implicitly when not to (non-US or non-commercial scenarios requiring WDPA). However, it does not directly name sibling alternatives, keeping the score from being a 5.

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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