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laveeshb

logicapps-mcp

by laveeshb

get_reference

Retrieve reference documentation for Azure Logic Apps, covering tool usage details and Consumption vs Standard SKU comparisons.

Instructions

Get reference documentation for Logic Apps. Call this for comprehensive tool usage details or when users ask about differences between Consumption and Standard SKUs.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
topicYesThe reference topic: 'tool-catalog' for all 33 MCP tools with examples; 'sku-differences' for Consumption vs Standard deep dive
Behavior3/5

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

No annotations provided; description implies a read-only, non-destructive operation. It does not disclose additional behavioral traits like response format, permissions, or rate limits. Adequate but not exhaustive.

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, no extraneous content. Purpose is front-loaded and each sentence adds distinct information.

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

Completeness3/5

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

Tool is simple with one parameter but lacks specification of output format (e.g., plain text or structured JSON). Given no output schema, the description should clarify what the agent can expect.

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 provides full coverage with enum and description. Description adds value by stating the output is from official Microsoft documentation, which enhances understanding beyond the schema.

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 retrieves reference documentation for Logic Apps, specifying two concrete use cases (tool usage details and SKU differences). It effectively distinguishes from sibling get_* tools.

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 scenarios when to use ('comprehensive tool usage details' and 'differences between Consumption and Standard SKUs'). Lacks explicit when-not-to-use but context from sibling tools implicitly covers alternatives.

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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