predict_allele_specific_effects · AlphaGenome MCP Server MCP

WHAT IT DOES

What predict_allele_specific_effects does on AlphaGenome MCP Server

AI agents invoke predict_allele_specific_effects to trigger actions in AlphaGenome MCP Server. 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 predict_allele_specific_effects needs a policy

This tool executes complex bioinformatic algorithms (allele-specific effect prediction) whose outputs depend entirely on the input variants and parameters provided. While it does not modify genomic databases or perform destructive operations, it executes external computational operations that could produce misleading pathogenic predictions if misused—potentially influencing clinical decision-making.

From the tool's definition Tool 'predict_allele_specific_effects' performs computational analysis that 'Analyze[s] allele-specific regulatory effects' and provides 'Detailed analysis of how each allele affects gene regulation differently.' This involves running variant interpretation…

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

predict_allele_specific_effects Rate-limited

predict_allele_specific_effects 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": {
    "predict_allele_specific_effects": {
      "limits": [
        {
          "counter": "predict_allele_specific_effects_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 AlphaGenome MCP Server, so you can run agents against it safely.

FAQ

Questions about predict_allele_specific_effects

What does the predict_allele_specific_effects tool do? +

Analyze allele-specific regulatory effects. Detailed analysis of how each allele affects gene regulation differently. Perfect for: ASE analysis, imprinting studies. Example:. It is categorised as a Execute tool in the AlphaGenome MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on predict_allele_specific_effects? +

Register the AlphaGenome MCP Server MCP server in PolicyLayer and add a rule for predict_allele_specific_effects: 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 AlphaGenome MCP Server. Nothing to install.

What risk level is predict_allele_specific_effects? +

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

Can I rate-limit predict_allele_specific_effects? +

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

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

predict_allele_specific_effects is provided by the AlphaGenome MCP Server MCP server (taehojo/alphagenome-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.