Search for food safety articles mentioning a restaurant name. Currently covers NYC, Chicago, SF, Seattle, and Boston. Note: this searches article text — it is not a comprehensive inspection database. Results depend on what has been published by city health departments. For official inspection rec...
Part of the Panko Alerts — Food Safety Data MCP server. Enforce policies on this tool with Intercept, the open-source MCP proxy.
AI agents call check_restaurant_inspections to retrieve information from Panko Alerts — Food Safety Data 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 check_restaurant_inspections 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.
tools:
check_restaurant_inspections:
rules:
- action: allowSee the full Panko Alerts — Food Safety Data policy for all 5 tools.
Agents calling read-class tools like check_restaurant_inspections have been implicated in these attack patterns. Read the full case and prevention policy for each:
Other tools in the Read risk category across the catalogue. The same policy patterns (rate-limit, allow) apply to each.
Search for food safety articles mentioning a restaurant name. Currently covers NYC, Chicago, SF, Seattle, and Boston. Note: this searches article text — it is not a comprehensive inspection database. Results depend on what has been published by city health departments. For official inspection records, check the relevant city health department directly.. It is categorised as a Read tool in the Panko Alerts — Food Safety Data MCP Server, which means it retrieves data without modifying state.
Add a rule in your Intercept YAML policy under the tools section for check_restaurant_inspections. You can allow, deny, rate-limit, or validate arguments. Then run Intercept as a proxy in front of the Panko Alerts — Food Safety Data MCP server.
check_restaurant_inspections 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 check_restaurant_inspections 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.
Set action: deny in the Intercept policy for check_restaurant_inspections. 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.
check_restaurant_inspections is provided by the Panko Alerts — Food Safety Data MCP server (alex-kenny-lee-vfjv/panko-food-safety). Intercept sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Open source. One binary. Zero dependencies.
npx -y @policylayer/intercept