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mirastacklabs-ai

MIRASTACK Redfish MCP Server

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Get Redfish ServiceRoot capabilities

service_info
Read-onlyIdempotent

Fetch ServiceRoot and protocol feature flags to discover supported query options and links from the Redfish endpoint.

Instructions

Fetch ServiceRoot and protocol feature flags to understand what query options and links the endpoint supports. Returns: Object with service_root, redfish_version, capabilities, links, and resolved endpoint name. Example: service_info(endpoint='default')

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
endpointNoConfigured endpoint name. Omit to use the default endpoint.

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 readOnlyHint, idempotentHint, and non-destructive, so the safety profile is covered. The description adds behavioral context by listing the exact return fields (service_root, redfish_version, capabilities, links, resolved endpoint name) and providing an example call, which helps the agent anticipate the result. It does not contradict any annotation.

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 sentences plus a short example, with the main action front-loaded. Every sentence contributes purpose, return structure, or usage demonstration, with no filler or repetition.

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 tool is a simple read-only capability query with one optional parameter and an output schema, the description provides sufficient context: what it does, what it returns, and an example. It could be argued that error behavior or edge cases are omitted, but these are less critical for a read-only, idempotent capability-discovery tool. The presence of an output schema reduces the need to explain return values in 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 coverage is 100% with a clear description of the endpoint parameter (configured endpoint name, omit to use default). The description's mention of 'resolved endpoint name' and example usage adds minimal new meaning beyond the schema, so it meets the baseline 3 for high schema coverage.

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 the specific verb 'Fetch' with the resource 'ServiceRoot and protocol feature flags', and clarifies the purpose as understanding supported query options and links. This clearly distinguishes the tool from the many sibling tools like get_system or redfish_get by focusing on capability discovery, not a specific resource fetch.

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 provides clear context for use ('to understand what query options and links the endpoint supports'), which implies when an agent should invoke this tool. However, it does not explicitly name alternatives or state when not to use it, so it falls short of a full 5.

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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