Send an image message via WhatsApp
AI agents use send_image 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 and sends a message (image) to WhatsApp, which is a reversible Write action. While it transmits data externally, it does not execute arbitrary code, delete data, or move money. Severity is medium because misuse could spam users, leak sensitive information, or impersonate the account holder, but the action itself is non-destructive and can be mitigated by account controls.
From the tool's definition Tool name 'send_image' and description 'Send an image message via WhatsApp' indicate creation/transmission of a message artifact to an external service.
Documented attack patterns abuse exactly the kind of access send_image 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_image:
{
"version": "1",
"default": "deny",
"tools": {
"send_image": {
"limits": [
{
"counter": "send_image_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
} send_image 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 an image 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_image: 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_image 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_image 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_image. 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_image 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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