get_enrichment

Perform functional enrichment analysis for a set of proteins. Tests for over-representation in Gene Ontology terms, KEGG pathways, etc.

Server STRING MCP Server munch-group/string-mcp
Category Read
Risk class Low
Parameters 00 required

What get_enrichment does on STRING MCP Server

AI agents call get_enrichment to retrieve information from STRING MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Why get_enrichment needs a policy

This tool retrieves and analyzes existing public biological data. It computes statistical enrichment scores but does not create, modify, delete, execute code, or trigger financial transactions. The output is informational analysis based on querying public reference databases. No side effects or state changes occur.

From the tool's definition Tool performs 'functional enrichment analysis' and 'tests for over-representation' of proteins against public databases (Gene Ontology, KEGG pathways).

Questions about get_enrichment

What does the get_enrichment tool do? +

Perform functional enrichment analysis for a set of proteins. Tests for over-representation in Gene Ontology terms, KEGG pathways, etc. It is categorised as a Read tool in the STRING MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_enrichment? +

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

What risk level is get_enrichment? +

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

Can I rate-limit get_enrichment? +

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

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

get_enrichment is provided by the STRING MCP Server MCP server (munch-group/string-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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