Low Risk

product_research_request

Request product research for a shopping or product-selection need. Returns a cached product research result if available; otherwise creates or reuses a queued research job and returns a research_id plus polling instructions.

Part of the Agent News by The Agent Times server.

product_research_request 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 product_research_request to retrieve information from Agent News by The Agent Times 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 product_research_request 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": {
    "product_research_request": {}
  }
}

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These attack patterns abuse exactly the kind of access product_research_request 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 product_research_request 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 product_research_request tool do? +

Request product research for a shopping or product-selection need. Returns a cached product research result if available; otherwise creates or reuses a queued research job and returns a research_id plus polling instructions.. It is categorised as a Read tool in the Agent News by The Agent Times MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on product_research_request? +

Register the Agent News by The Agent Times MCP server in PolicyLayer and add a rule for product_research_request: 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 Agent News by The Agent Times. Nothing to install.

What risk level is product_research_request? +

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

Can I rate-limit product_research_request? +

Yes. Add a rate_limit block to the product_research_request 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_research_request completely? +

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

product_research_request is provided by the Agent News by The Agent Times MCP server (https://theagenttimes.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 Agent News by The Agent Times tool call.

Deterministic rules across all 20 Agent News by The Agent Times tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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