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mirastacklabs-ai

MIRASTACK Redfish MCP Server

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Get one chassis resource

get_chassis
Read-onlyIdempotent

Retrieve a specific Redfish Chassis resource by URI or ID; if unspecified, the first chassis is auto-selected. Returns the resolved URI and complete resource payload.

Instructions

Fetch a single Chassis resource by URI or ID; if omitted, the first chassis member is auto-selected. Returns: Object with resolved uri and full resource payload for one Chassis. Example: get_chassis(uri='/redfish/v1/Chassis/1')

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
uriNoExplicit chassis resource URI to fetch.
endpointNoConfigured endpoint name. Omit to use the default endpoint.
chassis_idNoChassis identifier appended to /redfish/v1/Chassis/{chassis_id}.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

Annotations already declare read-only and non-destructive behavior. The description adds valuable context beyond annotations: the auto-selection fallback when no URI/ID is given, and the return structure (resolved uri + resource payload).

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 plus a concrete example, all tightly packed with actionable information. No filler or repetition of the schema.

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?

Given the rich annotations, full schema coverage, and presence of an output schema, the description sufficiently covers the tool's purpose, default behavior, and return shape. It is complete for an AI agent to select and invoke the tool.

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 covers 100% of parameters with clear descriptions, so baseline is 3. The description adds meaning by explaining the relationship between uri and chassis_id as alternative ways to identify the resource, and the auto-selection behavior when both are omitted.

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?

Description uses specific verb 'Fetch' with resource 'Chassis' and scope 'single', and clearly indicates the two modes of selection (URI or ID). It distinguishes from sibling list_chassis by explicitly focusing on a single member.

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 clear usage context: specify URI or ID to fetch a specific chassis, or omit to get the first member auto-selected. Does not explicitly mention when not to use it or point to an alternative like list_chassis, but the intended use case is evident.

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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