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652036

ArcGIS Pro MCP

by 652036

Gp Point Density

arcgis_pro_gp_point_density
Idempotent

Calculate point density from input point features using a population field, outputting a raster. Adjust cell size to control resolution.

Instructions

ArcGIS Pro:pointgp point density。返回可验证的结构化结果;写入和路径限制以服务能力为准。

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
cell_sizeNo
out_rasterYes
in_featuresYes
population_fieldYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv2.0.0

TDQS

D1.6/5.0
Behavior2/5

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

Annotations already declare readOnlyHint=false, idempotentHint=true, and destructiveHint=false. The description adds only that write and path restrictions depend on service capabilities, which is vague and does not explain what gets modified, permission requirements, or execution behavior. It does not contradict annotations, but it adds little beyond them.

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

Conciseness2/5

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

The description is short but not useful: it front-loads a name restatement and appends generic boilerplate about verifiable results and service capabilities. Brevity here reflects under-specification rather than efficient communication.

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

Completeness1/5

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

For a geoprocessing analysis tool with four parameters and no schema descriptions, the definition omits the tool's purpose, parameter meanings, and usage context. Although an output schema exists, the core operational description is absent.

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

Parameters1/5

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

Schema description coverage is 0%, and the description provides no information about the four parameters (in_features, population_field, out_raster, cell_size). For a required-parameter geoprocessing tool, the description completely fails to compensate for the missing schema semantics.

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

Purpose2/5

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

The description essentially restates the tool name and title ('pointgp point density') without stating what operation is performed or what a point density analysis produces. It does not distinguish this tool from sibling geoprocessing tools such as kernel density or feature-to-raster. This is tautological rather than purpose-defining.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines1/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no guidance on when to use this tool versus alternatives, no prerequisites, and no context about appropriate inputs or scenarios. The sentence about service capabilities is generic and not actionable for tool selection.

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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