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logicapps-mcp

by laveeshb

get_trigger_callback_url

Retrieves the callback URL with SAS token for request-based triggers in Azure Logic Apps. Use to obtain the endpoint for invoking workflows; for Standard SKU, provide the workflow name.

Instructions

Get the callback URL for request-based triggers (HTTP, manual). Returns the URL with SAS token for invoking the workflow. For Standard SKU, workflowName is required. Use run_trigger to test the workflow instead of calling the URL directly.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
subscriptionIdYesAzure subscription ID
resourceGroupNameYesResource group name
logicAppNameYesLogic App resource name
workflowNameNoWorkflow name (required for Standard SKU)
triggerNameYesTrigger name
Behavior4/5

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

No annotations are provided, so the description carries full weight. It explains the return value (URL with SAS token) and a conditional requirement. It does not mention side effects, but as a read-only operation this is acceptable.

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?

Three sentences, each contributing essential information: purpose, return value, condition, and alternative. No wasted words.

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 get operation with 5 parameters (4 required) and no output schema, the description covers the return type, a key condition, and an alternative. Lacks details like URL format or expiration, but overall sufficient.

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?

Schema coverage is 100%, so baseline is 3. The description adds value by clarifying that workflowName is conditionally required (for Standard SKU), which is not evident from the schema alone.

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 gets a callback URL with SAS token for request-based triggers (HTTP, manual). It distinguishes from sibling tools like run_trigger and is specific about the resource.

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 explicit guidance on when workflowName is required (Standard SKU) and advises using run_trigger instead of calling the URL directly, giving context on appropriate use. Could be improved by specifying when not to use this tool.

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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