execute_atlas_task · AGI- MCP: Risk & Policy

WHAT IT DOES

What execute_atlas_task does on AGI-MCP

AI agents invoke execute_atlas_task to trigger actions in AGI-MCP. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.

WHY IT NEEDS A POLICY

Why execute_atlas_task needs a policy

This tool executes multi-step workflows (Analyze, Task Breakdown, Learn, Act, Synthesize) with an 'Act' phase that performs operations. The 'execute' verb combined with a structured process that includes action steps classifies this as Execute rather than Write, as the impacts are determined by the task content provided.

From the tool's definition Tool name includes 'execute' and description states it 'Execute[s] a task using the ATLAS 5-step process' which involves 'Act' as a core step, indicating it triggers external operations or code execution whose effects depend on task arguments.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

execute_atlas_task Rate-limited

execute_atlas_task stays usable, but rate-capped — a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "execute_atlas_task": {
      "limits": [
        {
          "counter": "execute_atlas_task_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

RATE-LIMIT THIS TOOL →

Instant setup, no code required.

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

FAQ

Questions about execute_atlas_task

What does the execute_atlas_task tool do? +

Execute a task using the ATLAS 5-step process (Analyze, Task Breakdown, Learn, Act, Synthesize). It is categorised as a Execute tool in the AGI-MCP MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on execute_atlas_task? +

Register the AGI- MCP server in PolicyLayer and add a rule for execute_atlas_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 AGI-MCP. Nothing to install.

What risk level is execute_atlas_task? +

execute_atlas_task is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit execute_atlas_task? +

Yes. Add a rate_limit block to the execute_atlas_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 execute_atlas_task completely? +

Set action: deny in the PolicyLayer policy for execute_atlas_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 execute_atlas_task? +

execute_atlas_task is provided by the AGI- MCP server (muah1987/agi-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.