get_ppi_enrichment

Test if your protein set has more interactions than expected by chance. Returns enrichment p-value.

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

What get_ppi_enrichment does on STRING MCP Server

AI agents call get_ppi_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_ppi_enrichment needs a policy

This is a read-only analytical tool that queries the STRING database and performs computational statistics to return a p-value. It has no side effects, does not modify data, does not execute arbitrary code or commands, and does not commit financial or destructive actions. The blast radius if misused is minimal—worst case an agent could make many queries, but no data is altered or removed.

From the tool's definition Tool performs statistical analysis on existing protein data ('Test if your protein set has more interactions than expected by chance. Returns enrichment p-value') without modifying, deleting, or executing external operations.

Questions about get_ppi_enrichment

What does the get_ppi_enrichment tool do? +

Test if your protein set has more interactions than expected by chance. Returns enrichment p-value. 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_ppi_enrichment? +

Register the STRING MCP Server MCP server in PolicyLayer and add a rule for get_ppi_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_ppi_enrichment? +

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

Can I rate-limit get_ppi_enrichment? +

Yes. Add a rate_limit block to the get_ppi_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_ppi_enrichment completely? +

Set action: deny in the PolicyLayer policy for get_ppi_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_ppi_enrichment? +

get_ppi_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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