Start device authorization to get an API key. Returns device_code, user_code, and verification URL. The agent should display the verification URL to the user, who signs in and approves the code. Then call mcpAuthPoll with the device_code. MCP wrappers don't have HTTP request headers, so provenanc...
Part of the AILANG Parse server.
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AI agents invoke mcpAuth to trigger processes or run actions in AILANG Parse. Execute operations can have side effects beyond the immediate call -- triggering builds, sending notifications, or starting workflows. Rate limits and argument validation are essential to prevent runaway execution.
mcpAuth can trigger processes with real-world consequences. An uncontrolled agent might start dozens of builds, send mass notifications, or kick off expensive compute jobs. PolicyLayer enforces rate limits and validates arguments to keep execution within safe bounds.
Execute tools trigger processes. Rate-limit and validate arguments to prevent unintended side effects.
{
"version": "1",
"default": "deny",
"tools": {
"mcpAuth": {
"limits": [
{
"counter": "mcpauth_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
}See the full AILANG Parse policy for all 31 tools.
These attack patterns abuse exactly the kind of access mcpAuth gives an agent. Each links to the full case and the policy that stops it:
Other execute tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.
Start device authorization to get an API key. Returns device_code, user_code, and verification URL. The agent should display the verification URL to the user, who signs in and approves the code. Then call mcpAuthPoll with the device_code. MCP wrappers don't have HTTP request headers, so provenance is empty here.. It is categorised as a Execute tool in the AILANG Parse MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the AILANG Parse MCP server in PolicyLayer and add a rule for mcpAuth: 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 AILANG Parse. Nothing to install.
mcpAuth is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the mcpAuth 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 mcpAuth. 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.
mcpAuth is provided by the AILANG Parse MCP server (@ailang/parse). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 31 AILANG Parse tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
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