update

Update a task in Google Tasks

Server Google Tasks MCP Server wilson-romero/gtasks-mcp
Category Write
Risk class Medium
Parameters 00 required

What update does on Google Tasks MCP Server

AI agents use update to create or update resources in Google Tasks MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Google Tasks MCP Server environment.

Why update needs a policy

The update operation modifies existing task data reversibly within Google Tasks. It is not destructive (data can be reverted by updating again), not financial, and not execute-level (no code execution or external command triggering). Write category is appropriate for data modification operations.

From the tool's definition Tool name 'update' and description 'Update a task in Google Tasks' indicates modification of existing data. Sibling tools include 'create', 'delete', 'list', 'search', and 'clear', confirming this server performs CRUD operations on tasks.

Questions about update

What does the update tool do? +

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

How do I enforce a policy on update? +

Register the Google Tasks MCP Server MCP server in PolicyLayer and add a rule for update: 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 Tasks MCP Server. Nothing to install.

What risk level is update? +

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

Can I rate-limit update? +

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

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

update is provided by the Google Tasks MCP Server MCP server (wilson-romero/gtasks-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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