product_liability_screen

One-call product-safety + liability read for a MANUFACTURER or brand. Joins three public-record legs: product recalls (CPSC consumer products + openFDA drug/device/food enforcement, keyed by manufacturer), federal-court litigation (CourtListener dockets whose caption actually names the brand), an...

SERVERLivedatalink SOURCEhttps://livedatalink.ai/mcp
Low RISK CLASS
Category Read
Parameters 41 required
Recommended Allowedsee the rule below
Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-blackboxfoundry-livedatalink/product-liability-screen.md

What product_liability_screen does on Livedatalink

AI agents call product_liability_screen to retrieve information from Livedatalink without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

ParameterTypeRequiredDescription
since string Optional lower-bound date (YYYY-MM-DD) for FDA recalls.
state string Optional 2-letter state to scope the CFPB complaint leg (e.g. 'CA').
company string Alias for manufacturer; either may be supplied.
manufacturer string Yes Manufacturer or brand name to screen (e.g. 'Peloton', 'Fisher-Price').

Parameters from the server's own tool schema.

Why product_liability_screen is rated Low

Even though product_liability_screen only reads data, uncontrolled read access leaks sensitive information and racks up API costs: an agent caught in a retry loop can make thousands of calls a minute without anyone noticing.

Questions about product_liability_screen

What does the product_liability_screen tool do? +

One-call product-safety + liability read for a MANUFACTURER or brand. Joins three public-record legs: product recalls (CPSC consumer products + openFDA drug/device/food enforcement, keyed by manufacturer), federal-court litigation (CourtListener dockets whose caption actually names the brand), and CFPB consumer-complaint volume. Returns a rolled-up read (CLEAN / WATCH / ELEVATED LIABILITY SIGNALS) with recall count and severity (FDA Class I / death-related = high), litigation hits (total + last-3-years), and complaint volume, plus an itemized interpretation. A leg that fails is noted, not fatal. NHTSA vehicle recalls need a specific year+make+model so are out of scope here (use recall_screen for a vehicle). Premium cross-source synthesis; informational public-record synthesis, NOT legal advice. It is categorised as a Read tool in the Livedatalink MCP Server, which means it retrieves data without modifying state.

What parameters does product_liability_screen accept? +

product_liability_screen accepts 4 parameters: since, state, company, manufacturer. Required: manufacturer. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on product_liability_screen? +

Register the Livedatalink MCP server in PolicyLayer and add a rule for product_liability_screen: 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 Livedatalink. Nothing to install.

What risk level is product_liability_screen? +

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

Can I rate-limit product_liability_screen? +

Yes. Add a rate_limit block to the product_liability_screen 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 product_liability_screen completely? +

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

product_liability_screen is provided by the Livedatalink MCP server (https://livedatalink.ai/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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