get_running_tasks

THE RISK

Low Risk

Why get_running_tasks needs a policy

This tool retrieves status information about running tasks without creating, modifying, deleting, or executing anything. It is a read-only operation that queries task state, analogous to listing or fetching data. The blast radius of misuse is minimal—an attacker could gain visibility into system task status but cannot alter state or trigger actions.

From the tool's definition Tool name 'get_running_tasks' and description 'Get all currently running tasks' indicate a query/retrieval operation with no data modification or side effects.

Documented attack patterns abuse exactly the kind of access get_running_tasks gives an agent:

POLICY

How to control get_running_tasks

PolicyLayer is an MCP gateway — it sits between your AI agents and Prospectio MCP API, and nothing reaches the server without passing your rules. This is the rule we recommend for get_running_tasks:

policy.json

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

get_running_tasks is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

Create a free account and register Prospectio MCP API — nothing to install.
Add this policy — paste it, or build it visually.
Point your MCP client (Claude, Cursor, anything) at your gateway URL.

CAP THIS TOOL →

Free to start. No card required.

EXPLORE

Related tools and policies

More Prospectio MCP API tools

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All 12 Prospectio MCP API tools →

Read tools on other servers

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Go deeper

The MCP Attack Database → Documented attack patterns against MCP deployments — and the policies that stop them.
Data exfiltration → How read access becomes an exfiltration channel when chained with untrusted content.
MCP token cost → What connecting this server costs in context-window tokens on every request.
Rate Limiting MCP Tool Calls: A Practical Guide →
MCP Security: Why Prompt Guardrails Aren't Enough →

FAQ

Questions about get_running_tasks

What does the get_running_tasks tool do? +

Get all currently running tasks. It is categorised as a Read tool in the Prospectio MCP API MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_running_tasks? +

Register the Prospectio MCP API MCP server in PolicyLayer and add a rule for get_running_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 Prospectio MCP API. Nothing to install.

What risk level is get_running_tasks? +

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

Can I rate-limit get_running_tasks? +

Yes. Add a rate_limit block to the get_running_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 get_running_tasks completely? +

Set action: deny in the PolicyLayer policy for get_running_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 get_running_tasks? +

get_running_tasks is provided by the Prospectio MCP API MCP server (prospectio-ai/prospectio-api-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Prospectio MCP API tool call.

Start from Prospectio MCP API, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

CHECK YOUR STACK →