Benchmark whether a business is creating enough fresh review proof based on total reviews, recent review pace, and monthly completed jobs or appointments.
AI agents call run_review_velocity_benchmark to retrieve information from Quiet Protocol Growth Offense without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
| Parameter | Type | Required | Description |
|---|---|---|---|
niche | string | — | Business niche or vertical. |
totalReviews | number | — | Total public review count today. |
reviewsLast90Days | number | — | Reviews added in the last 90 days. |
monthlyCompletedJobs | number | — | Approximate completed jobs, visits, or appointments per month. |
Parameters from the server's own tool schema.
This tool performs analysis and benchmarking by reading/evaluating existing review data and business metrics. It produces an assessment output without modifying, creating, or deleting any data. The description implies computation over provided inputs, consistent with a Read/query operation. Severity is low as misuse would only result in inaccurate analysis, not data loss or financial harm.
From the tool's definition Benchmark whether a business is creating enough fresh review proof based on total reviews, recent review pace, and monthly completed jobs or appointments
Documented attack patterns abuse exactly the kind of access run_review_velocity_benchmark gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Quiet Protocol Growth Offense, and nothing reaches the server without passing your rules. This is the rule we recommend for run_review_velocity_benchmark:
{
"version": "1",
"default": "deny",
"tools": {
"run_review_velocity_benchmark": {}
}
}run_review_velocity_benchmark is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Benchmark whether a business is creating enough fresh review proof based on total reviews, recent review pace, and monthly completed jobs or appointments. It is categorised as a Read tool in the Quiet Protocol Growth Offense MCP Server, which means it retrieves data without modifying state.
run_review_velocity_benchmark accepts 4 parameters: niche, totalReviews, reviewsLast90Days, monthlyCompletedJobs. The full parameter table on this page comes from the server's own tool schema.
Register the Quiet Protocol Growth Offense MCP server in PolicyLayer and add a rule for run_review_velocity_benchmark: 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 Quiet Protocol Growth Offense. Nothing to install.
run_review_velocity_benchmark 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 run_review_velocity_benchmark 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 run_review_velocity_benchmark. 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.
run_review_velocity_benchmark is provided by the Quiet Protocol Growth Offense MCP server (joeroy2027/tqp-site). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Quiet Protocol Growth Offense, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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19 Quiet Protocol Growth Offense tools catalogued and risk-classified — across an index of 43,000+ MCP servers.