Medium Risk

fda_suggest_subsidiaries

Discover subsidiary and related company names using FDA datasets first, then supplement with external corporate hierarchy sources (SEC EDGAR Exhibit 21 and GLEIF) when available. Costs 2 credits. Returns FDA name candidates, evidence-backed company-record suggestions, EDGAR subsidiaries, GLEIF su...

Part of the FDA Data MCP server.

fda_suggest_subsidiaries can modify FDA Data MCP data, with no limits today. PolicyLayer puts allow, deny, and rate-limit rules on every call. Live in minutes.

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AI agents use fda_suggest_subsidiaries to create or modify resources in FDA Data MCP. Write operations carry medium risk because an autonomous agent could trigger bulk unintended modifications. Rate limits prevent a single agent session from making hundreds of changes in rapid succession. Argument validation ensures the agent passes expected values.

Without a policy, an AI agent could call fda_suggest_subsidiaries repeatedly, creating or modifying resources faster than any human could review. PolicyLayer's rate limiting ensures write operations happen at a controlled pace, and argument validation catches malformed or unexpected inputs before they reach FDA Data MCP.

Write tools can modify data. A rate limit prevents runaway bulk operations from AI agents.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "fda_suggest_subsidiaries": {
      "limits": [
        {
          "counter": "fda_suggest_subsidiaries_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

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These attack patterns abuse exactly the kind of access fda_suggest_subsidiaries 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_suggest_subsidiaries only ever does what you allow.

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Other write tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.

What does the fda_suggest_subsidiaries tool do? +

Discover subsidiary and related company names using FDA datasets first, then supplement with external corporate hierarchy sources (SEC EDGAR Exhibit 21 and GLEIF) when available. Costs 2 credits. Returns FDA name candidates, evidence-backed company-record suggestions, EDGAR subsidiaries, GLEIF subsidiaries, existing aliases, and facility coverage stats. The coverage.unlinked_feis count indicates how many facilities may be missing from the current alias set. The workflow is conservative and explainable: it validates candidates against FDA company records instead of auto-linking them. Note: EDGAR and GLEIF may lag recent acquisitions or divestitures, so missing external results do not rule out FDA-visible subsidiaries. Recommended workflow: 1. fda_suggest_subsidiaries, 2. fda_link_subsidiaries for distinct child companies or fda_save_aliases for true same-company variants, 3. fda_manufacturing_risk_summary or fda_search_family_facilities. Related: fda_link_subsidiaries (persist explicit family links), fda_save_aliases (persist same-entity names), fda_manufacturing_risk_summary (family-aware company rollup), fda_search_family_facilities (family-aware FEI search).. It is categorised as a Write tool in the FDA Data MCP MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on fda_suggest_subsidiaries? +

Register the FDA Data MCP server in PolicyLayer and add a rule for fda_suggest_subsidiaries: 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 FDA Data MCP. Nothing to install.

What risk level is fda_suggest_subsidiaries? +

fda_suggest_subsidiaries is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit fda_suggest_subsidiaries? +

Yes. Add a rate_limit block to the fda_suggest_subsidiaries 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_suggest_subsidiaries completely? +

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

fda_suggest_subsidiaries is provided by the FDA Data MCP server (https://www.regdatalab.com/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every FDA Data MCP tool call.

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