run_pipeline · Literature Agent MCP: Risk & Policy

WHAT IT DOES

What run_pipeline does on Literature Agent

AI agents invoke run_pipeline to trigger actions in Literature Agent. 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 run_pipeline needs a policy

This tool orchestrates a multi-step workflow that downloads files, modifies the local file system (indexing), and generates content. While the individual steps (search, download, indexing) are part of a legitimate research pipeline, 'run_pipeline' aggregates them into a single Execute action with side effects that alter local state and persist data.

From the tool's definition Tool description states it 'Run[s] the complete literature pipeline' with actions that include 'plan, search, download, index, and draft' — encompassing multiple external operations (downloads, file indexing, draft generation) whose effects depend on…

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

run_pipeline Rate-limited

run_pipeline 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": {
    "run_pipeline": {
      "limits": [
        {
          "counter": "run_pipeline_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 Literature Agent, so you can run agents against it safely.

FAQ

Questions about run_pipeline

What does the run_pipeline tool do? +

Run the complete literature pipeline: plan, search, download, index, and draft. It is categorised as a Execute tool in the Literature Agent MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on run_pipeline? +

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

What risk level is run_pipeline? +

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

Can I rate-limit run_pipeline? +

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

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

run_pipeline is provided by the Literature Agent MCP server (zouxy111/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.