dida365_batch_update_tasks · Dida365 Agent MCP

WHAT IT DOES

What dida365_batch_update_tasks does on Dida365 Agent

AI agents use dida365_batch_update_tasks to create or update resources in Dida365 Agent — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Dida365 Agent environment.

WHY IT NEEDS A POLICY

Why dida365_batch_update_tasks needs a policy

This tool creates or modifies data (task records) in a reversible manner, fitting the Write category. Severity is medium because batch operations affect multiple records at once, creating moderate blast radius if an agent incorrectly updates many tasks, but changes are not irreversible (can be updated again or rolled back by the user).

From the tool's definition Tool name 'dida365_batch_update_tasks' and description 'Batch update multiple tasks in one request' indicate modification of existing data. Updates are reversible changes to task records.

Risk signalsBulk/mass operation — affects multiple targets

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

dida365_batch_update_tasks Rate-limited

dida365_batch_update_tasks 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.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "dida365_batch_update_tasks": {
      "limits": [
        {
          "counter": "dida365_batch_update_tasks_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL →

Instant setup, no code required.

PolicyLayer is an MCP gateway: every tool call is checked against your rule before it reaches Dida365 Agent, so you can run agents against it safely.

FAQ

Questions about dida365_batch_update_tasks

What does the dida365_batch_update_tasks tool do? +

Batch update multiple tasks in one request. It is categorised as a Write tool in the Dida365 Agent MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on dida365_batch_update_tasks? +

Register the Dida365 Agent MCP server in PolicyLayer and add a rule for dida365_batch_update_tasks: 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 Dida365 Agent. Nothing to install.

What risk level is dida365_batch_update_tasks? +

dida365_batch_update_tasks is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit dida365_batch_update_tasks? +

Yes. Add a rate_limit block to the dida365_batch_update_tasks 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 dida365_batch_update_tasks completely? +

Set action: deny in the PolicyLayer policy for dida365_batch_update_tasks. 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 dida365_batch_update_tasks? +

dida365_batch_update_tasks is provided by the Dida365 Agent MCP server (linhai0872/dida365-agent). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.