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laveeshb

logicapps-mcp

by laveeshb

get_action_repetitions

Retrieve iteration details for loop actions (ForEach, Until) to debug failures by examining each repetition's status, inputs, outputs, and tracked properties in Azure Logic Apps.

Instructions

Get iteration details for actions inside loops (ForEach, Until). Each iteration is a 'repetition' with its own status, inputs, outputs, and trackedProperties. For Standard SKU, workflowName is required. Essential for debugging loop failures.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
subscriptionIdYesAzure subscription ID
resourceGroupNameYesResource group name
logicAppNameYesLogic App resource name
workflowNameNoWorkflow name (required for Standard SKU)
runIdYesRun ID
actionNameYesAction name (the loop action)
repetitionNameNoSpecific repetition to get (e.g., '000000', '000001')
Behavior4/5

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

With no annotations, the description carries the burden. It discloses what data is returned (status, inputs, outputs, trackedProperties) and a conditional requirement. It implies read-only diagnostic use, but does not explicitly state no side effects or permissions needed.

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: first states purpose, second adds detail and context. Every sentence is informative with no fluff. Front-loaded with the core action.

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?

Given 7 parameters, no output schema, and no annotations, the description effectively covers purpose, usage context, returned data fields, and an important conditional requirement. It is sufficient for an agent to understand and invoke the tool.

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%, baseline is 3. The description adds value by clarifying that workflowName is required for Standard SKU, which is not evident from schema alone. This extra context raises the score.

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 verb 'Get' and the resource 'iteration details for actions inside loops', and explicitly mentions the loop types (ForEach, Until). It distinguishes from siblings like get_scope_repetitions by specifying loop iterations.

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 provides clear context for when to use the tool: 'Essential for debugging loop failures'. It also notes a prerequisite for Standard SKU (workflowName required). However, it does not explicitly list alternatives or scenarios to avoid.

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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