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mirastacklabs-ai

MIRASTACK Redfish MCP Server

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Get chassis power data

get_power
Read-onlyIdempotent

Retrieve power telemetry for a chassis: wattage, PSU status, power control, and power cap. Returns the full power resource payload with its URI.

Instructions

Fetch PowerSubsystem/Power for watts, PSU, power-control, and power-cap telemetry. Prefer this tool for PSU or power-draw requests. Returns: Object with power_uri plus full power resource payload. Example: get_power(chassis_uri='/redfish/v1/Chassis/1')

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
endpointNoConfigured endpoint name. Omit to use the default endpoint.
chassis_uriNoTarget chassis URI. Omit to auto-select the first chassis.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, covering the safety profile. The description adds the return structure ('Object with power_uri plus full power resource payload') and the telemetry scope, but does not disclose additional behavioral traits like authentication needs or edge-case behavior.

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 two concise sentences plus an example, with no wasted words. The fetch action and resource are front-loaded, and every sentence adds value.

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 simple read-only telemetry tool with strong annotations, an output schema, and a well-documented request schema, the description sufficiently covers purpose, usage, and return format without unnecessary detail.

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?

Schema description coverage is 100%, with both parameters ('endpoint' and 'chassis_uri') fully described. The description adds a concrete example call but no new semantic information beyond what the schema already provides, so the baseline-3 score applies.

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 states a specific verb ('Fetch'), a specific resource ('PowerSubsystem/Power'), and enumerates the telemetry types covered (watts, PSU, power-control, power-cap). It also distinguishes the tool from siblings by explicitly recommending it for PSU or power-draw requests.

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 includes an explicit preference statement: 'Prefer this tool for PSU or power-draw requests.' It clearly indicates when to use the tool, though it does not name specific alternative tools or exclusion scenarios.

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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