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652036

ArcGIS Pro MCP

by 652036

Create Topology

arcgis_pro_create_topology

Create a topology in a feature dataset inside the GP output root and validate the output to enforce spatial data integrity and check topology rules.

Instructions

在 GP 输出根中的要素数据集内创建拓扑并核验输出。

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
topology_nameYes
feature_datasetYes
cluster_toleranceNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv2.0.0

TDQS

C2.9/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=false, destructiveHint=false, idempotentHint=false and openWorldHint=false, so the agent knows this is a non-destructive write. The description adds that it creates inside the GP output root and 'verifies output', but omits permission requirements, whether the created topology is empty or auto-populated, and any side effects.

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?

A single front-loaded sentence with no filler; the creation action and its location come first. It is efficient, though arguably terse to the point of under-specification rather than information-dense.

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

Completeness2/5

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

For a mutation tool with 0% schema coverage and no parameter documentation, the description should carry more of the load. The output schema exists so return values need not be explained, but the absence of any parameter or prerequisite detail leaves real gaps.

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?

Schema description coverage is 0%, so the schema only supplies titles. The description implies a 'feature dataset' concept but explains none of the three parameters (topology_name, feature_dataset, cluster_tolerance) nor the meaning or units of cluster tolerance. It does not compensate for the documentation gap.

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?

States a specific verb (create) and resource (topology) and adds scope (inside a feature dataset in the GP output root). An agent can distinguish it from the many sibling topology tools (topology_info, add_rule_to_topology, validate_topology), though it does not explicitly name a contrasting sibling.

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 statement of when to use this versus alternatives (e.g., validate_topology or add_feature_class_to_topology), nor any prerequisites or exclusions. The only contextual cue is the output-root scope, which is implicit rather than prescriptive.

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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