create_coworker
Create a coworker. Provide templateId to start from a built-in template (e.g. "classify-images-claude" or "classify-images-pixtral"), and/or explicit fields to configure a custom one. Fields override template defaults.
This record as markdown: /tools/aiquila-nextcloud-mcp-server/create-coworker.md
What create_coworker does on AIquila — Nextcloud MCP Server
AI agents use create_coworker to create or update resources in AIquila — Nextcloud MCP Server, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your AIquila — Nextcloud MCP Server environment.
| Parameter | Type | Required | Description |
|---|---|---|---|
model | string | — | Provider id: "anthropic" (Claude) or "mistral" (Pixtral) |
title | string | — | |
maxTags | number | — | Max tags per image (vision:classify) |
isActive | boolean | — | Whether the coworker is enabled |
taskType | string | — | Task type id, e.g. "vision:classify" |
inputPath | string | — | Folder to process, e.g. "/Photos" |
recursive | boolean | — | Include sub-folders |
templateId | string | — | Built-in template id (see list_coworker_templates) |
cronSchedule | string | — | 5-field cron, e.g. "0 3 * * *" |
Parameters from the server's own tool schema.
Why create_coworker is rated Medium
This tool creates a new resource (coworker) in the Nextcloud system, which is a reversible modification. It does not execute arbitrary code, delete data, or move money, so it falls under Write category.
From the tool's definition Tool name is 'create_coworker' and description states 'Create a coworker', indicating creation of a new entity. The ability to provide 'templateId' and 'explicit fields to configure' shows this modifies system state by adding a new coworker resource.
Attacks that exploit this kind of access
The rule that runs create_coworker safely
PolicyLayer is an MCP gateway: it sits between your AI agents and AIquila — Nextcloud MCP Server, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For create_coworker, this is the rule to start with:
create_coworker stays usable, but capped: an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect AIquila — Nextcloud MCP Server, apply this rule, and every create_coworker call is checked against it from then on.
Questions about create_coworker
Create a coworker. Provide templateId to start from a built-in template (e.g. "classify-images-claude" or "classify-images-pixtral"), and/or explicit fields to configure a custom one. Fields override template defaults. It is categorised as a Write tool in the AIquila — Nextcloud MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
create_coworker accepts 9 parameters: model, title, maxTags, isActive, taskType, inputPath, recursive, templateId, cronSchedule. The full parameter table on this page comes from the server's own tool schema.
Register the AIquila — Nextcloud MCP Server MCP server in PolicyLayer and add a rule for create_coworker: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches AIquila — Nextcloud MCP Server. Nothing to install.
create_coworker is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the create_coworker rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for create_coworker. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
create_coworker is provided by the AIquila — Nextcloud MCP Server MCP server (elgorro/aiquila). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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