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volume_release

Destructive

Stop what runs on a volume and start its Service again on the old server with its data. A move past its handover finishes on its new server instead. May stop to ask a human to approve.

Input Schema

NameRequiredDescriptionDefault
volumeYes
projectNo
versionNo
approvalNoThe ID of an approval a person granted. Send it when calling this tool again after it answered approval_required.
environmentNo
request_keyNo
wait_secondsNo
accept_volume_lossNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3/5.0
Behavior4/5

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

Annotations declare readOnlyHint=false and destructiveHint=true, and the description is consistent while adding real context the annotations lack: services are restarted on the old server, the volume's data moves with it, and the call 'may stop to ask a human to approve' (explaining the approval_required round-trip and the approval parameter). It does not, however, address data-loss risk implied by the accept_volume_loss parameter.

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 sentences with the core action front-loaded and little wasted text. However, the second sentence ('A move past its handover finishes on its new server instead') is grammatically awkward and costs more parsing effort than it should, so structure is decent but not clean.

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?

For an 8-parameter destructive tool with no output schema and near-zero schema description coverage, the description does not come close to supplying what an agent needs: it omits the meaning of most parameters, how the approval flow is resumed, and what happens to data (per accept_volume_loss). Only the general behavior and the approval possibility are covered.

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

Parameters2/5

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

Schema description coverage is 13% across 8 parameters, so the schema documents almost nothing and the description is expected to compensate. It only loosely gestures at the approval flow and says nothing about volume, project, version, environment, request_key, wait_seconds, or accept_volume_loss, leaving most parameters semantically opaque.

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?

States a concrete action: it stops whatever runs on a volume and restarts its Service on the old server with its data, and it distinguishes itself from the sibling volume_move ('a move past its handover finishes on its new server instead'). The wording is slightly cryptic ('release' a volume reads like removing it), but an agent can identify the verb+resource and the contrast with move.

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 explicit when-to-use / when-not-to-use guidance and no named alternative to select this over (volume_move is mentioned only to contrast outcomes, not to route the agent). The agent must infer the scenario from the behavioral description rather than being told to call this tool in a specific situation.

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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