AI agents call search_drug_targets to retrieve information from Pgx without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool appears to search or retrieve information about drug targets, consistent with a pharmacogenomics database query interface. The name suggests a lookup operation that retrieves reference data about how drugs interact with biological targets.
From the tool's definition Tool name 'search_drug_targets' contains 'search', a read operation. The description is empty, but the sibling tools (get_dosing_guideline, lookup_variant_clinvar, get_variant_frequency, etc.) are all read/query operations in a pharmacogenomics analysis…
Attacks that exploit this kind of access
search_drug_targets. It is categorised as a Read tool in the Pgx MCP Server, which means it retrieves data without modifying state.
Register the Pgx MCP server in PolicyLayer and add a rule for search_drug_targets: 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 Pgx. Nothing to install.
search_drug_targets 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 search_drug_targets 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 search_drug_targets. 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.
search_drug_targets is provided by the Pgx MCP server (julius-schmidt/mcp-pharmacogenomics). 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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