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Rootly-AI-Labs

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createFunctionality

Generate and manage new functionalities with required attributes like name, description, and associated metadata using the Rootly MCP server API.

Instructions

Creates a new functionality from provided data

Responses:

  • 201 (Success): functionality created

    • Content-Type: application/vnd.api+json

    • Example:

{
  "key": "value"
}
  • 401: responds with unauthorized for invalid token

    • Content-Type: application/vnd.api+json

    • Example:

{
  "key": "value"
}
  • 422: invalid request

    • Content-Type: application/vnd.api+json

    • Example:

{
  "key": "value"
}

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It mentions HTTP response codes (201, 401, 422) and content types, which adds some context about success/error conditions and authentication needs. However, it fails to describe critical behavioral traits like required permissions, rate limits, idempotency, or what 'functionality' represents in this system.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is front-loaded with the core purpose but then devotes excessive space to HTTP response details that belong in API documentation rather than a tool description. The response examples with placeholder JSON add bulk without value, making the description longer than necessary for its informational content.

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

Completeness2/5

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

For a creation tool with complex nested parameters (0% schema coverage) and no annotations, the description is inadequate. While it mentions some HTTP behaviors, it lacks crucial context about what a 'functionality' is, required permissions, data validation rules, or relationship to sibling tools. The existence of an output schema helps slightly but doesn't compensate for these gaps.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The description provides no information about parameters beyond implying that 'provided data' is needed. With 0% schema description coverage and a complex nested input schema (1 top-level parameter with many sub-properties), the description fails to add any meaningful semantic context about what data should be provided or how to structure it.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action ('Creates') and resource ('new functionality from provided data'), providing a specific verb+resource combination. However, it doesn't differentiate from sibling tools like 'createEnvironment' or 'createService' beyond the resource type, which prevents a perfect score.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is provided on when to use this tool versus alternatives like 'listFunctionalities' or other create tools. The description lacks context about prerequisites, appropriate scenarios, or exclusions, offering only basic operational information.

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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