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652036

ArcGIS Pro MCP

by 652036

Gp Generate Tessellation

arcgis_pro_gp_generate_tessellation
Idempotent

Creates polygon grids (hexagons, squares, triangles) across a specified extent and writes them to a feature class for spatial analysis.

Instructions

ArcGIS Pro:generategp generate tessellation。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
sizeNo
extentYes
shape_typeNoHEXAGON
output_feature_classYes
spatial_reference_wkidNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv2.0.0

TDQS

D1.8/5.0
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, so the safety profile is covered. The description adds only the vague claim that write and path restrictions follow service capabilities, plus a boilerplate "returns verifiable structured results" that conveys no concrete behavior such as overwrite handling or output-format constraints.

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?

It is short, but every sentence is filler or tautology: the name restated, a generic promise of structured results, and a hedged service-capability caveat. No sentence earns its place by adding actionable information.

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 tool with 5 undocumented parameters and 0% schema coverage, the description provides nothing usable; the presence of an output schema excuses return-value detail but not the total absence of input semantics and usage context.

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% across 5 parameters (size, extent, shape_type, output_feature_class, spatial_reference_wkid), and the description supplies nothing about units for size, valid extent syntax, or accepted shape_type values. The description fully fails to compensate for the schema gap.

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 ("generategp generate tessellation") without explaining what tessellation generation produces or how it differs from sibling geoprocessing tools like create_random_points or generate_near_table. An agent learns nothing about the operation beyond the identifier it already has.

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

Usage Guidelines2/5

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

There is no when-to-use guidance, no prerequisites, and no pointer to alternatives such as arcgis_pro_gp_run_tool or other geometry-generation tools. The only usage-adjacent text, "写入和路径限制以服务能力为准", is too vague to route an agent.

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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