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652036

ArcGIS Pro MCP

by 652036

Time Series Clustering

arcgis_pro_time_series_clustering
Idempotent

Cluster time series in space-time cubes to find patterns, then generate chart tables and controlled popups for ArcGIS Pro analysis.

Instructions

聚类时空 cube 的时间序列,并可生成图表表及受控 popup。

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
in_cubeYes
environmentNo
cluster_countNo
output_featuresYes
analysis_variableYes
output_table_for_chartsNo
enable_time_series_popupsNo
characteristic_of_interestYes
shape_characteristics_to_ignoreNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv2.0.0

TDQS

C2.6/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=false, destructiveHint=false, idempotentHint=true, and openWorldHint=false, covering the safety profile. The description adds only that chart tables and controlled popups can be generated, which is useful output context but does not detail the mutation or output behavior.

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 description is a single short sentence with no padding, so it is concise and front-loaded. However, it is under-specified rather than optimally structured for a complex 9-parameter tool, which limits its usefulness.

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 complex geoprocessing tool with 9 parameters, 4 required fields, and 0% schema description coverage, the description is far too sparse. Although an output schema and annotations exist, the description does not explain required inputs, clustering options, or environment constraints, leaving the agent unable to invoke it correctly without guessing.

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?

With 9 parameters and 0% schema description coverage, the description must compensate but does not. It never explains what in_cube, analysis_variable, characteristic_of_interest, cluster_count, output_features, or shape_characteristics_to_ignore should contain, leaving most parameter meaning undocumented.

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 states a specific verb, '聚类' (cluster), applied to '时空 cube 的时间序列' (time series of a space-time cube), so the core operation is identifiable. It does not differentiate this tool from siblings like arcgis_pro_create_space_time_cube or arcgis_pro_emerging_hot_spot_analysis, so sibling differentiation is missing.

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?

No explicit when-to-use or when-not-to-use guidance is provided. The agent must infer that a space-time cube must already exist and that clustering is desired, but no alternatives or prerequisites 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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