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Facets-cloud

Facets Module MCP Server

by Facets-cloud

get_intent

Query an intent by name to check its existence in the control plane and retrieve its details.

Instructions

Query whether an intent exists in the control plane by name. Returns intent details if found, or indicates if intent doesn't exist.

Args: intent_name (str): The name of the intent to query

Returns: str: JSON response containing intent details or not found status

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
intent_nameYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

No annotations provided, but the description discloses return behavior (details if found, not found status) and input. It adds context beyond the schema, though it does not mention permissions or rate limits.

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 with docstring sections for args and returns; front-loaded, no wasted words, and well-structured.

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?

Given the simplicity of the tool (single parameter, read operation, output schema exists), the description is largely complete. It could mention idempotency or read-only nature, but overall adequate.

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 has 0% description coverage, so the parameter description 'The name of the intent to query' adds meaningful context. While minimal, it adequately explains the parameter's purpose.

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 'Query' and the resource 'intent', specifying the action of checking existence by name. It distinguishes from siblings like 'list_all_intents' and 'create_or_update_intent'.

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

Usage Guidelines3/5

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

The description implies usage for checking existence before creating/updating but does not explicitly state when to use vs alternatives or provide 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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