Get the best seat recommendations for a specific flight. Takes a flight number (e.g., "UA1234", "DL567") and optionally cabin class, seat position preference (window/aisle), and priority (legroom/recline/quiet). Returns top picks with scores and notes, seats to avoid, aircraft info, and a confide...
Part of the Seat Intelligence server.
Free to start. No card required.
AI agents call rowhint_pick_seat to retrieve information from Seat Intelligence 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 rowhint_pick_seat 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": {
"rowhint_pick_seat": {}
}
}See the full Seat Intelligence policy for all 8 tools.
These attack patterns abuse exactly the kind of access rowhint_pick_seat 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.
Get the best seat recommendations for a specific flight. Takes a flight number (e.g., "UA1234", "DL567") and optionally cabin class, seat position preference (window/aisle), and priority (legroom/recline/quiet). Returns top picks with scores and notes, seats to avoid, aircraft info, and a confidence rating. Use when someone says "I'm flying AA1234 next week, where should I sit?" or "Best window seat on DL567?" This is the easiest way to get seat recommendations — just provide a flight number.. It is categorised as a Read tool in the Seat Intelligence MCP Server, which means it retrieves data without modifying state.
Register the Seat Intelligence MCP server in PolicyLayer and add a rule for rowhint_pick_seat: 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 Seat Intelligence. Nothing to install.
rowhint_pick_seat 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 rowhint_pick_seat 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 rowhint_pick_seat. 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.
rowhint_pick_seat is provided by the Seat Intelligence MCP server (https://mcp.rowhint.com/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 Seat Intelligence tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
Free to start. No card required.
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