Skip to main content
Glama
652036

ArcGIS Pro MCP

by 652036

Gp Statistics

arcgis_pro_gp_statistics
Idempotent

Calculate summary statistics on fields in a table and write results to an output table for GIS analysis workflows.

Instructions

ArcGIS Pro:statisticsgp statistics。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
in_tableYes
out_tableYes
case_fieldNo
statistics_fieldsYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv2.0.0

TDQS

D1.9/5.0
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 a vague note that write/path restrictions follow service capability, plus a generic claim of 'verifiable structured results' — no detail on what gets overwritten in out_table, permissions, or failure behavior beyond what annotations imply.

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?

Very short, but the content is boilerplate fragments in mixed Chinese/English rather than a front-loaded purpose statement. Brevity here reflects under-specification, not efficient communication.

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?

An output schema exists, so return-value explanation is not required, and annotations cover the safety profile. However, for a 3-required-parameter geoprocessing tool with zero schema descriptions, the definition leaves the agent unable to determine input formats or how this differs from sibling statistics/aggregation tools.

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 four parameters (in_table, out_table, case_field, statistics_fields), and the description explains none of them — not the expected string syntax for statistics_fields, nor how case_field groups results. The description completely 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 title ('statistics / gp statistics') without stating a specific verb+resource outcome such as 'computes summary statistics on fields of a table and writes the result to a new table.' Given ~190 siblings including arcgis_pro_gp_frequency, arcgis_pro_gp_table_select and arcgis_pro_gp_summary-style tools, an agent gets no basis to distinguish this tool from them.

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 when-to-use, when-not-to-use, or alternative tool is named. The only pseudo-guidance ('write and path restrictions depend on service capabilities') is a generic disclaimer, not a selection criterion.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Deploy Server

Other Tools