Low Risk

score-venues

Score candidate venues by travel time fairness for multiple participants. Computes travel times from each participant to each venue and ranks by fairness strategy. The AI should suggest venues (from its own knowledge or via search-venues) and pass them here for scoring.

Risk signalsHigh parameter count (11 properties)

Part of the Rendezvous server.

score-venues 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.

SECURE RENDEZVOUS →

Free to start. No card required.

AI agents call score-venues to retrieve information from Rendezvous 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 score-venues 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": {
    "score-venues": {}
  }
}

See the full Rendezvous policy for all 5 tools.

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

ENFORCE ON MY RENDEZVOUS →

These attack patterns abuse exactly the kind of access score-venues 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 score-venues only ever does what you allow.

SECURE RENDEZVOUS →

Other read tools across the catalogue. The same approach applies to each: allow, with a rate cap to control cost.

What does the score-venues tool do? +

Score candidate venues by travel time fairness for multiple participants. Computes travel times from each participant to each venue and ranks by fairness strategy. The AI should suggest venues (from its own knowledge or via search-venues) and pass them here for scoring.. It is categorised as a Read tool in the Rendezvous MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on score-venues? +

Register the Rendezvous MCP server in PolicyLayer and add a rule for score-venues: 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 Rendezvous. Nothing to install.

What risk level is score-venues? +

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

Can I rate-limit score-venues? +

Yes. Add a rate_limit block to the score-venues 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 score-venues completely? +

Set action: deny in the PolicyLayer policy for score-venues. 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 score-venues? +

score-venues is provided by the Rendezvous MCP server (rendezvous-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Rendezvous tool call.

Deterministic rules across all 5 Rendezvous 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.

// GET IN TOUCH

Have a question or want to learn more? Send us a message.

Message sent.

We'll get back to you soon.