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jim-coyne

Hyperfabric MCP Server

vrfsGetFabricVrf

Retrieve specific Virtual Routing and Forwarding (VRF) configuration details from Hyperfabric network fabrics using fabric and VRF identifiers.

Instructions

Get a specific VRF.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
fabricIdYesThe fabric id or name.
vrfIdYesThe VRF id or name.
candidateNoThe candidate configuration name. If not set the default candidate configuration values are returned.
includeMetadataNoInclude object metadata in the response.
Behavior2/5

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

With no annotations provided, the description carries full burden but only states the action without behavioral details. It does not disclose if this is a read-only operation, requires authentication, has side effects, or how errors are handled. For a tool with parameters and no annotations, this is a significant gap in transparency.

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

Conciseness4/5

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

The description is a single, straightforward sentence with no wasted words, making it easy to parse. However, it could be more front-loaded with key details (e.g., 'Retrieve configuration for a VRF') to improve clarity without sacrificing brevity.

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?

Given the complexity (4 parameters, no annotations, no output schema), the description is incomplete. It does not explain what is returned (e.g., VRF details, error formats) or behavioral aspects like idempotency or permissions. For a tool that likely returns structured data, this leaves critical gaps for an AI agent.

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

Parameters3/5

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

The input schema has 100% description coverage, clearly documenting all four parameters. The description adds no additional meaning beyond the schema, such as explaining parameter interactions or examples. Baseline 3 is appropriate as the schema does the heavy lifting, but no extra value is provided.

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

Purpose3/5

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

The description states the action ('Get') and target ('a specific VRF'), which clarifies the basic purpose. However, it lacks specificity about what 'get' entails (e.g., retrieve configuration, status, or metadata) and does not differentiate from sibling tools like 'vrfsGetFabricVrfs' (plural) or 'vrfsUpdateFabricVrf', leaving the scope ambiguous.

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. The description does not mention prerequisites, context (e.g., after creation or update), or comparisons to siblings such as 'vrfsGetFabricVrfs' for listing multiple VRFs, leaving usage decisions unclear.

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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