Save pharmacogenomic research from web search as a local study. Validates the data, caches it, and returns the medication check result.
AI agents use save_drug_research to create or update resources in Openpgx — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Openpgx environment.
This tool performs a reversible write operation by saving and caching pharmacogenomic research data locally. It creates new records in a local database/cache, which is characteristic of Write category operations.
From the tool's definition 'Save pharmacogenomic research from web search as a local study. Validates the data, caches it, and returns the medication check result.' - The tool creates and stores new data locally (saves research, caches it), which is a write/create operation that…
Documented attack patterns abuse exactly the kind of access save_drug_research gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Openpgx, and nothing reaches the server without passing your rules. This is the rule we recommend for save_drug_research:
{
"version": "1",
"default": "deny",
"tools": {
"save_drug_research": {
"limits": [
{
"counter": "save_drug_research_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
} save_drug_research stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.
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Save pharmacogenomic research from web search as a local study. Validates the data, caches it, and returns the medication check result. It is categorised as a Write tool in the Openpgx MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Openpgx MCP server in PolicyLayer and add a rule for save_drug_research: 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 Openpgx. Nothing to install.
save_drug_research is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the save_drug_research 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 save_drug_research. 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.
save_drug_research is provided by the Openpgx MCP server (open-pgx/openpgx). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Openpgx, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
15 Openpgx tools catalogued and risk-classified — across an index of 43,000+ MCP servers.