Send a location message via WhatsApp
AI agents use send_location to create or update resources in Mcp Ap2 — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Mcp Ap2 environment.
This tool creates new data (a location message) in WhatsApp, making it a Write category action. It is not Read (no retrieval), Execute (no command execution), Destructive (reversible via message deletion), or Financial (no money movement). Severity is medium because sending location data could expose privacy information or be misused for tracking, but the impact is limited to a single message unless sent at scale.
From the tool's definition Tool sends a location message via WhatsApp, which creates/modifies communication data within the messaging platform. The verb 'send' indicates a write operation that creates new message content.
Documented attack patterns abuse exactly the kind of access send_location gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Mcp Ap2, and nothing reaches the server without passing your rules. This is the rule we recommend for send_location:
{
"version": "1",
"default": "deny",
"tools": {
"send_location": {
"limits": [
{
"counter": "send_location_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
} send_location stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.
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Send a location message via WhatsApp. It is categorised as a Write tool in the Mcp Ap2 MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Mcp Ap2 MCP server in PolicyLayer and add a rule for send_location: 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 Mcp Ap2. Nothing to install.
send_location 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 send_location 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 send_location. 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.
send_location is provided by the Mcp Ap2 MCP server (@codespar/mcp-ap2). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Mcp Ap2, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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