add_labels_to_task · Freelo MCP Server MCP: Risk & Policy

WHAT IT DOES

What add_labels_to_task does on Freelo MCP Server

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

WHY IT NEEDS A POLICY

Why add_labels_to_task needs a policy

Adding labels to a task is a write operation that modifies task metadata reversibly. While the description is empty, the name is clear and the context of a project management server (Freelo) supports this classification. It does not delete data (would be Destructive), execute arbitrary code (Execute), or involve financial transactions (Financial).

From the tool's definition Tool name 'add_labels_to_task' indicates modification of task metadata. Sibling tools on this server include 'create_task', 'create_comment', 'delete_task', confirming this is a project management API where 'add_labels_to_task' performs a reversible…

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

add_labels_to_task Rate-limited

add_labels_to_task 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": {
    "add_labels_to_task": {
      "limits": [
        {
          "counter": "add_labels_to_task_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 Freelo MCP Server, so you can run agents against it safely.

FAQ

Questions about add_labels_to_task

What does the add_labels_to_task tool do? +

add_labels_to_task. It is categorised as a Write tool in the Freelo 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 add_labels_to_task? +

Register the Freelo MCP Server MCP server in PolicyLayer and add a rule for add_labels_to_task: 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 Freelo MCP Server. Nothing to install.

What risk level is add_labels_to_task? +

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

Can I rate-limit add_labels_to_task? +

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

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

add_labels_to_task is provided by the Freelo MCP Server MCP server (m-hlpr/freelo-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.