get_coworker_runs

Get recent run history (progress, status, summary) for a coworker.

SERVERAIquila — Nextcloud MCP Server SOURCEelgorro/aiquila

Low RISK CLASS

Category Read

Parameters 21 required

Recommended Allowedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/aiquila-nextcloud-mcp-server/get-coworker-runs.md

WHAT IT DOES

What get_coworker_runs does on AIquila — Nextcloud MCP Server

AI agents call get_coworker_runs to retrieve information from AIquila — Nextcloud MCP Server without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Parameter	Type	Required	Description
`id`	number	Yes	Coworker ID
`limit`	number	—	Max runs to return (default 20)

Parameters from the server's own tool schema.

RISK

Why get_coworker_runs is rated Low

This tool queries and retrieves historical data about a coworker's runs without creating, modifying, deleting, or executing any operations. It is purely informational, making it a Read category tool with low severity since viewing historical run data poses minimal risk even if misused.

From the tool's definition Tool retrieves 'recent run history (progress, status, summary)' for a coworker—a read-only query operation with no side effects or data modification.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs get_coworker_runs 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 get_coworker_runs, this is the rule to start with:

get_coworker_runs Allowed

get_coworker_runs is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "get_coworker_runs": {}
  }
}

ALLOW ONLY THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect AIquila — Nextcloud MCP Server, apply this rule, and every get_coworker_runs call is checked against it from then on.

FAQ

Questions about get_coworker_runs

What does the get_coworker_runs tool do? +

Get recent run history (progress, status, summary) for a coworker. It is categorised as a Read tool in the AIquila — Nextcloud MCP Server MCP Server, which means it retrieves data without modifying state.

What parameters does get_coworker_runs accept? +

get_coworker_runs accepts 2 parameters: id, limit. Required: id. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on get_coworker_runs? +

Register the AIquila — Nextcloud MCP Server MCP server in PolicyLayer and add a rule for get_coworker_runs: 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.

What risk level is get_coworker_runs? +

get_coworker_runs is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit get_coworker_runs? +

Yes. Add a rate_limit block to the get_coworker_runs 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.

How do I block get_coworker_runs completely? +

Set action: deny in the PolicyLayer policy for get_coworker_runs. 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.

What MCP server provides get_coworker_runs? +

get_coworker_runs 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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