enrich_result

THE RISK

Low Risk

Why enrich_result needs a policy

The enrich_result tool performs read-only operations: looking up bibliographic metadata (DOI resolution, citation counts, reference graphs) from external academic databases (Unpaywall, OpenCitations, NIH iCite) and returning enriched data. It has no side effects on the original dataset or paper, cannot execute code, delete data, or create financial obligations.

From the tool's definition Tool description states it 'resolves open-access links, PDF URLs, citation counts, and reference graphs' — purely retrieval and querying operations with no modification, deletion, or execution capabilities.

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

POLICY

How to control enrich_result

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

policy.json

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

enrich_result 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 MobusMCP — 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

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All 13 MobusMCP tools →

Read tools on other servers

M-Team MCP Server get_torrent_detail YouTube MCP Server search_channel Android Forensics ADB MCP Server parse_browser_history 0xarchive web3_challenge

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 enrich_result

What does the enrich_result tool do? +

Enrich a dataset or paper by DOI: resolve open-access links, PDF URLs, citation counts, and reference graphs via Unpaywall, OpenCitations, and NIH iCite. It is categorised as a Read tool in the MobusMCP MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on enrich_result? +

Register the Mobus MCP server in PolicyLayer and add a rule for enrich_result: 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 MobusMCP. Nothing to install.

What risk level is enrich_result? +

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

Can I rate-limit enrich_result? +

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

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

enrich_result is provided by the Mobus MCP server (mobus-ai/mobus). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every MobusMCP tool call.

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

CHECK YOUR STACK →