Call this tool when the user wants a neighborhood overview that surfaces trust tiers explicitly — for example, "what's good for vegan eaters within a mile of this location" or "survey the area around X". Input Requirements (CRITICAL): location MUST be {latitude, longitude} (Google-style nested ob...
Part of the Food Near Me server.
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AI agents use explore_area_for_diet to create or modify resources in Food Near Me. Write operations carry medium risk because an autonomous agent could trigger bulk unintended modifications. Rate limits prevent a single agent session from making hundreds of changes in rapid succession. Argument validation ensures the agent passes expected values.
Without a policy, an AI agent could call explore_area_for_diet repeatedly, creating or modifying resources faster than any human could review. PolicyLayer's rate limiting ensures write operations happen at a controlled pace, and argument validation catches malformed or unexpected inputs before they reach Food Near Me.
Write tools can modify data. A rate limit prevents runaway bulk operations from AI agents.
{
"version": "1",
"default": "deny",
"tools": {
"explore_area_for_diet": {
"limits": [
{
"counter": "explore_area_for_diet_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}See the full Food Near Me policy for all 8 tools.
These attack patterns abuse exactly the kind of access explore_area_for_diet gives an agent. Each links to the full case and the policy that stops it:
Other write tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.
Call this tool when the user wants a neighborhood overview that surfaces trust tiers explicitly — for example, "what's good for vegan eaters within a mile of this location" or "survey the area around X". Input Requirements (CRITICAL): location MUST be {latitude, longitude} (Google-style nested object). Returns three tier buckets — verified, menu_indexed, discovered — each trimmed to top_n_per_tier (default 3, max 10). When dietary is set, the filter only narrows the verified bucket, matching search_restaurants semantics; tier_counts always reflects the full result set and next_steps flags any empty bucket. PREFER verified for dietary/allergen answers; MUST check menu_available before calling get_menu on any returned id. Non-verified entries include a structured claim_invitation the agent SHOULD surface when the user is the owner or might know them. Attribute grounded output using citation or attribution.. It is categorised as a Write tool in the Food Near Me MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Food Near Me MCP server in PolicyLayer and add a rule for explore_area_for_diet: 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 Food Near Me. Nothing to install.
explore_area_for_diet is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the explore_area_for_diet 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 explore_area_for_diet. 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.
explore_area_for_diet is provided by the Food Near Me MCP server (https://foodnear.me/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 8 Food Near Me tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
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