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iaas_power_off_machine

Powers off a specified IaaS machine by ID, enabling you to stop running workloads when they are no longer needed.

Instructions

Power-off operation for machine Second day power-off operation for machine POST /iaas/api/machines/{id}/operations/power-off

Input Schema

NameRequiredDescriptionDefault
idYesThe id of the Machine. (path)
apiVersionNoThe version of the API in yyyy-MM-dd format (UTC). For versioning information refer to /iaas/api/about

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.2.0

TDQS

C2.8/5.0
Behavior2/5

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

Annotations already declare readOnlyHint=false, idempotentHint=false and destructiveHint=false, and the description adds no behavioral context beyond restating the endpoint: it does not say whether the power-off is forced/immediate, what state the machine must be in, whether the operation is asynchronous and returns a request tracker, or what happens to in-flight workloads. It does not contradict the annotations, but for a mutation on running compute this leaves the meaningful behavior undisclosed.

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

Conciseness3/5

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

Three short lines with no wasted prose, but the second line is redundant with the first and semantically empty, and the endpoint line repeats information already carried by the tool's annotation title ("POST /iaas/api/machines/{id}/operations/power-off"). Nothing is front-loaded as actionable guidance.

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?

No output schema exists, so the description must explain the outcome, and it does not — whether a task/request is returned or the machine goes down synchronously is unknown. Given the dense cluster of power-state siblings and the mutation, the definition is under-specified for an agent to call this confidently.

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 `id` documented as "The id of the Machine. (path)" and `apiVersion` explained in the schema. The description's endpoint line merely echoes the `{id}` path parameter already documented, so the baseline 3 applies.

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

Purpose4/5

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

The description names a specific verb and resource ("Power-off operation for machine") plus the underlying REST endpoint, so the action is unambiguous. However, it does nothing to separate this tool from the many power-state siblings (iaas_shutdown_machine, iaas_suspend_machine, iaas_power_on_machine, iaas_reset_machine), and the fragment "Second day power-off operation for machine" is meaningless jargon that neither clarifies nor distinguishes.

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?

There is no statement of when to use this versus the alternatives. With shutdown, suspend, reset, reboot and restart all present as siblings, the agent gets no criteria for choosing a hard power-off over a graceful shutdown. "Second day power-off operation" reads like an internal ticket phrase rather than guidance.

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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