Given a moment description, rank candidate creatives by predicted VAS performance. Evaluates each creative candidate against the described moment context using historical similarity and causal prediction. Returns a ranked list sorted by predicted VAS score, with confidence levels for each predict...
Part of the Trillboards DOOH Advertising server.
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AI agents call recommend_creative to retrieve information from Trillboards DOOH Advertising 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 recommend_creative 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": {
"recommend_creative": {}
}
}See the full Trillboards DOOH Advertising policy for all 74 tools.
These attack patterns abuse exactly the kind of access recommend_creative 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.
Given a moment description, rank candidate creatives by predicted VAS performance. Evaluates each creative candidate against the described moment context using historical similarity and causal prediction. Returns a ranked list sorted by predicted VAS score, with confidence levels for each prediction. WHEN TO USE: - Choosing which creative to show at a specific moment/venue - Comparing multiple creatives for a campaign across different contexts - Optimizing creative rotation for maximum VAS - Pre-campaign creative selection based on audience and venue RETURNS: - rankings: Array sorted by predicted VAS (descending) - creativeId, predictedVAS (0-1), confidence (0-1), rank (1-N) - metadata: { candidate_count, moment_description } - suggested_next_queries: Follow-up queries EXAMPLE: User: "Which of these 3 creatives will perform best at a gym in the evening?" recommend_creative({ moment_description: "gym venue, evening, 6 viewers, high attention, mostly male 18-34", creative_ids: ["fitness-brand-30s", "energy-drink-15s", "tech-gadget-20s"] }). It is categorised as a Read tool in the Trillboards DOOH Advertising MCP Server, which means it retrieves data without modifying state.
Register the Trillboards DOOH Advertising MCP server in PolicyLayer and add a rule for recommend_creative: 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 Trillboards DOOH Advertising. Nothing to install.
recommend_creative 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 recommend_creative 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 recommend_creative. 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.
recommend_creative is provided by the Trillboards DOOH Advertising MCP server (https://api.trillboards.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 74 Trillboards DOOH Advertising tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
Free to start. No card required.
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