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pve_pool_update

Add or remove VMs/storage from a Proxmox pool. Dry-run by default; confirm=true to execute. Use delete=true to remove members.

Instructions

MUTATION: add (delete=False) or remove (delete=True) pool members. Dry-run by default — the PLAN notes membership re-scopes ACL coverage. confirm=True to execute. Synchronous, no UPID. delete=True with no vms/storage is refused (ambiguous). To remove the pool itself use pve_pool_delete.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
vmsNoComma-separated VMID/CTID list to add or remove from the pool.
deleteNoFalse (default) adds the given vms/storage as members; True removes them instead.
poolidYesPool ID to update.
confirmNoFalse (default) returns a dry-run PLAN only; True executes the change.
storageNoComma-separated storage ID list to add or remove from the pool.
proximo_targetNoWhich configured Proxmox target to run this call against — a target name from your multi-target config (a specific PVE/PBS/PMG/PDM box). Omit to use the single/default target from the environment; the selection applies only to this call.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

With no annotations provided, the description carries full burden. It discloses the mutation nature, synchronous execution, absence of UPID, dry-run default, and the refusal condition for ambiguous delete. However, it does not mention potential error cases beyond the refused deletion or the output format (though an output schema exists).

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 concise, using four sentences that front-load the purpose and then provide key behavioral details. Every sentence adds value without redundancy.

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 tool has an output schema and 6 parameters, the description covers the mutation behavior, dry-run mechanism, execution control, a rejection case, and an alternative tool. It is complete for an agent to understand and use the tool correctly.

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 coverage is 100%, so baseline is 3. The description adds value by explaining the interplay of delete, confirm, vms, and storage parameters beyond the schema descriptions, such as the dry-run behavior and the requirement to provide members when delete=True.

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 clearly states it is a mutation to add or remove pool members, distinguishing the two modes via the delete flag. It also explicitly references the sibling tool pve_pool_delete for removing the pool itself, providing clear differentiation.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description explicitly explains when to use this tool (add/remove members) and when not to (use pve_pool_delete for removing the pool). It details the dry-run default, the confirm flag for execution, and the rejection of delete=True without members, giving comprehensive 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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