Query the FDA structured product labeling (SPL) database for prescription and OTC drugs. Returns indications, dosage, warnings, contraindications, adverse reactions, and pharmacology sections. License: openFDA CC0 1.0; commercial redistribution permitted.
AI agents call query_fda_drug_labels to retrieve information from TensorFeed without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
| Parameter | Type | Required | Description |
|---|---|---|---|
skip | number | — | Pagination offset (0-25000) |
sort | string | — | Sort by field |
limit | number | — | Max records to return (1-100) |
search | string | — | openFDA Lucene-style search expression. Examples: openfda.brand_name:tylenol, openfda.generic_name:metformin |
Parameters from the server's own tool schema.
This tool retrieves and filters structured public health information from a read-only database. It has no side effects, cannot modify records, execute code, delete data, or commit financial transactions. The worst-case misuse would be information gathering or potential misrepresentation of drug data, but the underlying data is public and licensed for redistribution.
From the tool's definition Tool performs 'Query' operations against the FDA drug labeling database; returns informational sections (indications, dosage, warnings, contraindications, adverse reactions, pharmacology).
Attacks that exploit this kind of access
Query the FDA structured product labeling (SPL) database for prescription and OTC drugs. Returns indications, dosage, warnings, contraindications, adverse reactions, and pharmacology sections. License: openFDA CC0 1.0; commercial redistribution permitted. It is categorised as a Read tool in the TensorFeed MCP Server, which means it retrieves data without modifying state.
query_fda_drug_labels accepts 4 parameters: skip, sort, limit, search. The full parameter table on this page comes from the server's own tool schema.
Register the TensorFeed MCP server in PolicyLayer and add a rule for query_fda_drug_labels: 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 TensorFeed. Nothing to install.
query_fda_drug_labels 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 query_fda_drug_labels 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 query_fda_drug_labels. 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.
query_fda_drug_labels is provided by the TensorFeed MCP server (https://mcp.tensorfeed.ai/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
query_fda_drug_labels is one line of TensorFeed's registry record.
The record carries the whole server: verified identity, auth posture, risk grade, every tool classified, recommended policy — re-checked continuously.
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