differential_expression

THE RISK

High Risk

Why differential_expression needs a policy

This is an Execute tool because it runs complex statistical and computational operations (differential expression analysis algorithms) whose outputs depend entirely on input parameters and data. While not destructive or dangerous in isolation, it operates code/algorithms that transform input data into analytical results.

From the tool's definition Tool performs 'differential expression analysis' which executes computational algorithms on biomedical data (gene expression datasets) to identify statistical patterns.

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

POLICY

How to control differential_expression

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

policy.json

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

differential_expression 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.

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

RATE-LIMIT THIS TOOL →

Free to start. No card required.

EXPLORE

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Go deeper

High-risk tools in MedSci Agent → Every high-risk tool this server exposes, in one view.
All high-risk MCP tools → Every high-risk tool across the catalogue, and the policy pattern that contains them.
The MCP Attack Database → Documented attack patterns against MCP deployments — and the policies that stop them.
Agent sandbox → Bounding what an agent can execute and where the boundary should sit.
Least privilege for MCP → Granting agents the minimum tool surface the task needs.
Rate Limiting MCP Tool Calls: A Practical Guide →
MCP Security: Why Prompt Guardrails Aren't Enough →

FAQ

Questions about differential_expression

What does the differential_expression tool do? +

Run differential expression analysis between cell groups. Identifies genes that are significantly up- or down-regulated between clusters or conditions. It is categorised as a Execute tool in the MedSci 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 differential_expression? +

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

What risk level is differential_expression? +

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

Can I rate-limit differential_expression? +

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

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

differential_expression is provided by the MedSci Agent MCP server (omar-a-hassan/medsci-agent). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every MedSci Agent tool call.

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

CHECK YOUR STACK →