Low Risk

suggest_restaurants

Get curated restaurant recommendations for a city. Covers 16+ cities with verified restaurants. Includes name, cuisine type, price level, rating, neighborhood, must-try dishes, and vibe. Filter by cuisine type or budget level.

Part of the Pulse MCP server. Enforce policies on this tool with Intercept, the open-source MCP proxy.

AI agents call suggest_restaurants to retrieve information from Pulse 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 suggest_restaurants 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.

onetrip-pulse.yaml
tools:
  suggest_restaurants:
    rules:
      - action: allow

See the full Pulse policy for all 29 tools.

Tool Name suggest_restaurants
Category Read
MCP Server Pulse MCP Server
Risk Level Low

View all 29 tools →

Agents calling read-class tools like suggest_restaurants have been implicated in these attack patterns. Read the full case and prevention policy for each:

Browse the full MCP Attack Database →

Other tools in the Read risk category across the catalogue. The same policy patterns (rate-limit, allow) apply to each.

What does the suggest_restaurants tool do? +

Get curated restaurant recommendations for a city. Covers 16+ cities with verified restaurants. Includes name, cuisine type, price level, rating, neighborhood, must-try dishes, and vibe. Filter by cuisine type or budget level.. It is categorised as a Read tool in the Pulse MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on suggest_restaurants? +

Add a rule in your Intercept YAML policy under the tools section for suggest_restaurants. You can allow, deny, rate-limit, or validate arguments. Then run Intercept as a proxy in front of the Pulse MCP server.

What risk level is suggest_restaurants? +

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

Can I rate-limit suggest_restaurants? +

Yes. Add a rate_limit block to the suggest_restaurants rule in your Intercept 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 suggest_restaurants completely? +

Set action: deny in the Intercept policy for suggest_restaurants. 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 suggest_restaurants? +

suggest_restaurants is provided by the Pulse MCP server (onetrip/pulse). Intercept sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policies on Pulse

Open source. One binary. Zero dependencies.

npx -y @policylayer/intercept
github.com/policylayer/intercept →
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