Medium Risk

tasks_tasks_patch

Patch a task

Risk signalsModifies task properties

Part of the Google Workspace Tasks (gws CLI) server.

tasks_tasks_patch can modify Google Workspace Tasks (gws CLI) data, with no limits today. PolicyLayer puts allow, deny, and rate-limit rules on every call. Live in minutes.

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AI agents use tasks_tasks_patch to create or modify resources in Google Workspace Tasks (gws CLI). Write operations carry medium risk because an autonomous agent could trigger bulk unintended modifications. Rate limits prevent a single agent session from making hundreds of changes in rapid succession. Argument validation ensures the agent passes expected values.

Without a policy, an AI agent could call tasks_tasks_patch repeatedly, creating or modifying resources faster than any human could review. PolicyLayer's rate limiting ensures write operations happen at a controlled pace, and argument validation catches malformed or unexpected inputs before they reach Google Workspace Tasks (gws CLI).

Write tools can modify data. A rate limit prevents runaway bulk operations from AI agents.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "tasks_tasks_patch": {
      "limits": [
        {
          "counter": "tasks_tasks_patch_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

See the full Google Workspace Tasks (gws CLI) policy for all 14 tools.

Get this rule live on your own Google Workspace Tasks (gws CLI) server in minutes. PolicyLayer enforces it on every call, before it runs.

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These attack patterns abuse exactly the kind of access tasks_tasks_patch gives an agent. Each links to the full case and the policy that stops it:

Browse the full MCP Attack Database →

Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so tasks_tasks_patch only ever does what you allow.

SECURE GOOGLE WORKSPACE TASKS (GWS CLI) →

Other write tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.

What does the tasks_tasks_patch tool do? +

Patch a task. It is categorised as a Write tool in the Google Workspace Tasks (gws CLI) MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on tasks_tasks_patch? +

Register the Google Workspace Tasks (gws CLI) MCP server in PolicyLayer and add a rule for tasks_tasks_patch: 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 Google Workspace Tasks (gws CLI). Nothing to install.

What risk level is tasks_tasks_patch? +

tasks_tasks_patch is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit tasks_tasks_patch? +

Yes. Add a rate_limit block to the tasks_tasks_patch 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 tasks_tasks_patch completely? +

Set action: deny in the PolicyLayer policy for tasks_tasks_patch. 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 tasks_tasks_patch? +

tasks_tasks_patch is provided by the Google Workspace Tasks (gws CLI) MCP server (@gws mcp -s tasks). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Google Workspace Tasks (gws CLI) tool call.

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