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laveeshb

logicapps-mcp

by laveeshb

test_connection

Test API connection validity and authentication to diagnose connector failures in workflow runs.

Instructions

Test if an API connection is valid and working. Checks connection status and validates authentication. Use this to diagnose connector failures in workflow runs.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
subscriptionIdYesAzure subscription ID
resourceGroupNameYesResource group name
connectionNameYesAPI connection name
Behavior3/5

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

No annotations provided, so description must carry behavioral disclosure. It mentions 'checks connection status and validates authentication' which implies a read-only check, but does not specify side effects, error behavior, or output format. Lacks detail on network calls or validation steps.

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, front-loaded with purpose, no unnecessary words. Efficient and clear.

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

Completeness4/5

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

For a simple test tool with no output schema, the description covers purpose and usage context adequately. Lacks details on return values or failure modes, but these are somewhat inferable.

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?

Schema coverage is 100% for all three parameters. The description adds no extra meaning beyond the schema. Baseline of 3 applies as per guidelines.

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?

Explicit verb 'test' and resource 'API connection' clearly state what the tool does. Distinguishes from siblings like get_connection_details (retrieval) and create_connection (creation).

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?

Provides clear context: 'Use this to diagnose connector failures in workflow runs.' Does not explicitly mention when not to use or name alternatives, but the context is sufficient for typical scenarios.

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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