Low Risk

fda.approvals

FDA drug-approval / rejection actions (Drugs@FDA, CDER). For a sponsor or drug, returns the regulatory action history: action=approved (AP, bullish), complete_response_letter (CR, a rejection — sharply bearish), or tentative_approval (TA). Flags new molecular entities (NME) and priority review — ...

Part of the Arkolith server.

fda.approvals is read-only, but an agent in a loop can still rack up calls and cost. PolicyLayer caps every call before it runs. Live in minutes.

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AI agents call fda.approvals to retrieve information from Arkolith without modifying any data. This is common in research, monitoring, and reporting workflows where the agent needs context before taking action. Because read operations don't change state, they are generally safe to allow without restrictions -- but you may still want rate limits to control API costs.

Even though fda.approvals only reads data, uncontrolled read access can leak sensitive information or rack up API costs. An agent caught in a retry loop could make thousands of calls per minute. A rate limit gives you a safety net without blocking legitimate use.

Read-only tools are safe to allow by default. No rate limit needed unless you want to control costs.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "fda.approvals": {}
  }
}

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These attack patterns abuse exactly the kind of access fda.approvals gives an agent. Each links to the full case and the policy that stops it:

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Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so fda.approvals only ever does what you allow.

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Other read tools across the catalogue. The same approach applies to each: allow, with a rate cap to control cost.

What does the fda.approvals tool do? +

FDA drug-approval / rejection actions (Drugs@FDA, CDER). For a sponsor or drug, returns the regulatory action history: action=approved (AP, bullish), complete_response_letter (CR, a rejection — sharply bearish), or tentative_approval (TA). Flags new molecular entities (NME) and priority review — the highest-value catalysts. Resolves sponsor_name to a ticker (null if private). CAVEAT: backward-looking (records actions AFTER they happen, lags days; press releases beat it) — a confirmation/archive feed. Drugs@FDA is CDER-only, so biologics/vaccines (e.g. Moderna) may be absent. Public-domain openFDA.. It is categorised as a Read tool in the Arkolith MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on fda.approvals? +

Register the Arkolith MCP server in PolicyLayer and add a rule for fda.approvals: 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 Arkolith. Nothing to install.

What risk level is fda.approvals? +

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

Can I rate-limit fda.approvals? +

Yes. Add a rate_limit block to the fda.approvals 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 fda.approvals completely? +

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

fda.approvals is provided by the Arkolith MCP server (https://arkolith.com/api/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Arkolith tool call.

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