Low Risk

request_quote

Request a quote from a directory firm. Lighter-weight than request_introduction — explicitly framed as a budget+scope inquiry. firm_slug: directory slug for the target firm prospect_email: caller's email for the firm's reply scope_summary: one-paragraph description of the work budget_band: 'under...

Part of the Compliance Registry server.

request_quote 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 request_quote to retrieve information from Compliance Registry 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 request_quote 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": {
    "request_quote": {}
  }
}

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

Request a quote from a directory firm. Lighter-weight than request_introduction — explicitly framed as a budget+scope inquiry. firm_slug: directory slug for the target firm prospect_email: caller's email for the firm's reply scope_summary: one-paragraph description of the work budget_band: 'under_5k' | '5k_25k' | '25k_100k' | '100k_plus' | 'open' — or any free-text dollar figure. It is categorised as a Read tool in the Compliance Registry MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on request_quote? +

Register the Compliance Registry MCP server in PolicyLayer and add a rule for request_quote: 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 Compliance Registry. Nothing to install.

What risk level is request_quote? +

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

Can I rate-limit request_quote? +

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

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

request_quote is provided by the Compliance Registry MCP server (globalpart/tessa-aios). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Compliance Registry tool call.

Deterministic rules across all 10 Compliance Registry tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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