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Itential MCP Server

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get_integration_models

Retrieve all integration models from Itential Platform to access OpenAPI definitions and automate interactions with external systems.

Instructions

Get all integration models from Itential Platform.

Integration models define API specifications for external systems and services that can be integrated with Itential Platform. They are based on OpenAPI specifications and enable automated interaction with third-party systems.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYesResponse model for the get integration models API endpoint. This root model wraps a list of GetIntegrationModelsElement objects representing all integration models on the Itential Platform server. Attributes: root: List of integration model elements, each containing model details.
Behavior4/5

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

With no annotations provided, the description carries the burden of conveying behavior. It clearly indicates a read-only operation ('Get all') and adds valuable domain context about integration models being OpenAPI-based. It does not mention pagination or authentication, but for a simple parameterless getter, the behavior is sufficiently clear.

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?

The description is concise, consisting of two sentences that immediately state the purpose and provide necessary domain context. Every sentence adds value, with no redundancy or fluff.

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 zero-parameter read operation with an output schema available, the description adequately covers what the tool does and the nature of its returned data. It explains what integration models are, making it complete for an agent to select and invoke correctly.

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?

The input schema has zero parameters, so the description need not explain parameter details. The word 'all' aligns with the empty schema, confirming no filtering options. This is appropriate for a parameterless tool.

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 uses a specific verb ('Get all') and resource ('integration models') from Itential Platform, clearly distinguishing it from siblings like get_integrations. It further explains that these models are API specifications, making the purpose unambiguous.

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 that this tool retrieves all integration models, and explains what those are. However, it does not explicitly state when to use this over alternatives like create_integration_model or get_integrations, nor does it mention exclusions.

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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