Provide comprehensive regulatory annotation for a variant. Returns detailed regulatory context including all modalities. Perfect for: variant annotation pipelines, comprehensive reports. Example:
AI agents call annotate_regulatory_context to retrieve information from AlphaGenome MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The tool retrieves and returns annotation/contextual information about a variant. It reads and queries genomic data without creating, modifying, or deleting any data. The description emphasizes returning information ('Returns detailed regulatory context'), making this a Read operation. Low severity as it only surfaces existing data.
From the tool's definition 'Provide comprehensive regulatory annotation for a variant. Returns detailed regulatory context including all modalities.'
Attacks that exploit this kind of access
Provide comprehensive regulatory annotation for a variant. Returns detailed regulatory context including all modalities. Perfect for: variant annotation pipelines, comprehensive reports. Example:. It is categorised as a Read tool in the AlphaGenome MCP Server MCP Server, which means it retrieves data without modifying state.
Register the AlphaGenome MCP Server MCP server in PolicyLayer and add a rule for annotate_regulatory_context: 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.
annotate_regulatory_context is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the annotate_regulatory_context 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.
Set action: deny in the PolicyLayer policy for annotate_regulatory_context. 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.
annotate_regulatory_context 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.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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