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muend

arcgis-mcp-bridge

health_check

Verifies the server-to-worker execution pipeline and reports interpreter version and configuration summary. Use first for diagnosing connectivity issues.

Instructions

Verify the full execution pipeline: server -> conda worker -> back.

Spawns a real worker process (without importing arcpy) and reports the
interpreter version plus configuration summary. Use this first when
diagnosing connectivity.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

Without annotations, the description carries full burden. It discloses spawning a real worker without importing arcpy, and reports specific outputs. This is sufficient for understanding the tool's behavior, though it could mention if there are no 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.

Conciseness5/5

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

Two sentences that front-load the core purpose and then provide key details. Every sentence adds value; no wasted words.

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

Completeness5/5

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

For a simple tool with no parameters and an output schema present, the description is complete. It explains the tool's function, what it returns, and its recommended use case.

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

Parameters4/5

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

With zero parameters and 100% schema coverage, the description adds meaning beyond the empty schema by explaining what the tool does and its output, compensating for lack of parameters.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool's purpose: verify the full execution pipeline from server to conda worker and back. It specifies that it spawns a worker process and reports interpreter version and configuration summary, distinguishing it from all sibling tools which are GIS operations.

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

Usage Guidelines4/5

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

The description explicitly says 'Use this first when diagnosing connectivity,' providing clear when-to-use guidance. It does not mention when not to use or alternatives, but the sibling context makes alternatives irrelevant.

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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