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run_python_toolbox_tool

Run a specific tool from a custom .pyt, .atbx, or .tbx toolbox on disk by providing its path and tool name, for automating geoprocessing tasks in ArcGIS Pro.

Instructions

Run a tool from a custom .pyt / .atbx / .tbx toolbox on disk.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
argsNoPositional parameters.
aliasNoToolbox alias to import under.
tool_nameYesTool name inside the toolbox.
parametersNoKeyword parameters.
toolbox_pathYesPath to the toolbox.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv1.1.1

TDQS

C2.9/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It does not mention that this executes arbitrary Python code from a custom toolbox, nor does it describe side effects, permission requirements, error handling, or return behavior. It only repeats the basic action.

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

Conciseness5/5

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

The description is a single, front-loaded sentence with zero wasted words. It efficiently conveys the core action and resource without unnecessary elaboration.

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?

Given the tool's complexity (executing arbitrary code from a custom toolbox) and the absence of annotations, the description is too thin. While an output schema exists, the description should at least hint at execution context, potential side effects, or security considerations to be complete for an agent.

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

Parameters3/5

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

The input schema has 100% description coverage for all five parameters, so the baseline score is 3. The description adds a minor clarification about the toolbox file types, but provides no additional semantic detail for args, alias, parameters, or the paths beyond what the schema already documents.

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 ('Run') and resource ('tool from a custom .pyt / .atbx / .tbx toolbox on disk'), which clearly identifies the operation and distinguishes it from running standard geoprocessing tools by emphasizing the custom toolbox formats. However, it does not explicitly name or contrast with sibling tools like run_geoprocessing_tool or execute_arcpy_code.

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?

The description provides no guidance on when to use this tool versus alternatives, no prerequisites, and no exclusions. It simply states what the tool does without any context for selection among the many sibling tools that also execute code or tools.

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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