Low Risk

quote_data_result

Free pre-payment quote for one ResultRail public-data result. Returns price, paid endpoint, success contract, and whether the buyer's max price covers the result.

Part of the GateCheck by LarryBuildsAI server.

quote_data_result 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 quote_data_result to retrieve information from GateCheck by LarryBuildsAI 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 quote_data_result 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": {
    "quote_data_result": {}
  }
}

See the full GateCheck by LarryBuildsAI policy for all 3 tools.

Get this rule live on your own GateCheck by LarryBuildsAI 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 quote_data_result 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 quote_data_result 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 quote_data_result tool do? +

Free pre-payment quote for one ResultRail public-data result. Returns price, paid endpoint, success contract, and whether the buyer's max price covers the result.. It is categorised as a Read tool in the GateCheck by LarryBuildsAI MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on quote_data_result? +

Register the GateCheck by LarryBuildsAI MCP server in PolicyLayer and add a rule for quote_data_result: 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 GateCheck by LarryBuildsAI. Nothing to install.

What risk level is quote_data_result? +

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

Can I rate-limit quote_data_result? +

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

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

quote_data_result is provided by the GateCheck by LarryBuildsAI MCP server (https://proofbeforepay.vercel.app/resultrail/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every GateCheck by LarryBuildsAI tool call.

Deterministic rules across all 3 GateCheck by LarryBuildsAI tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

Free to start. No card required.

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

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