Low Risk

search_literature

Search PubMed biomedical literature by natural language query. Examples: 'SGLT2 inhibitors heart failure outcomes 2022', 'mRNA vaccine immunogenicity elderly', 'GLP-1 agonist weight loss meta-analysis'

Risk signalsAccepts freeform code/query input (query)

Part of the RxRadar server.

search_literature 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 search_literature to retrieve information from RxRadar 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 search_literature 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": {
    "search_literature": {}
  }
}

See the full RxRadar policy for all 6 tools.

Get this rule live on your own RxRadar server in minutes. PolicyLayer enforces it on every call, before it runs.

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

Browse the full MCP Attack Database →

Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so search_literature 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 search_literature tool do? +

Search PubMed biomedical literature by natural language query. Examples: 'SGLT2 inhibitors heart failure outcomes 2022', 'mRNA vaccine immunogenicity elderly', 'GLP-1 agonist weight loss meta-analysis'. It is categorised as a Read tool in the RxRadar MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on search_literature? +

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

What risk level is search_literature? +

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

Can I rate-limit search_literature? +

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

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

search_literature is provided by the RxRadar MCP server (https://mcp.rxradar.dev/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every RxRadar tool call.

Deterministic rules across all 6 RxRadar tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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4,600+ MCP servers and 31,000+ tools scanned and risk-classified.

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