Look up a pending device code by user_code and return its provenance. No authentication required — possession of the user_code is the proof. The dashboard /approve.html page calls this BEFORE showing the approve UI so the user can see where the request came from (IP, User-Agent, Referer, age) and...
Part of the AILANG Parse server.
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AI agents call deviceAuthInspect to retrieve information from AILANG Parse 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 deviceAuthInspect 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.
{
"version": "1",
"default": "deny",
"tools": {
"deviceAuthInspect": {}
}
} See the full AILANG Parse policy for all 31 tools.
These attack patterns abuse exactly the kind of access deviceAuthInspect gives an agent. Each links to the full case and the policy that stops it:
Other read tools across the catalogue. The same approach applies to each: allow, with a rate cap to control cost.
Look up a pending device code by user_code and return its provenance. No authentication required — possession of the user_code is the proof. The dashboard /approve.html page calls this BEFORE showing the approve UI so the user can see where the request came from (IP, User-Agent, Referer, age) and decide whether to trust it. Returns 404 if the user_code does not match any pending device_codes doc. Already-approved or expired codes return as INPUT_NOT_FOUND too — there is nothing to inspect after the fact.. It is categorised as a Read tool in the AILANG Parse MCP Server, which means it retrieves data without modifying state.
Register the AILANG Parse MCP server in PolicyLayer and add a rule for deviceAuthInspect: 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.
deviceAuthInspect 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 deviceAuthInspect 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 deviceAuthInspect. 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.
deviceAuthInspect 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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