Get best-performing content recommendations for a venue type and optional time context. WHEN TO USE: - Deciding what content to schedule at a specific venue type - Finding content that drives the highest audience engagement at a location - Optimizing content rotation by daypart (morning, afternoo...
Part of the Trillboards DOOH Advertising server.
Free to start. No card required.
AI agents call get_content_recommendations 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 get_content_recommendations 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": {
"get_content_recommendations": {}
}
}See the full Trillboards DOOH Advertising policy for all 74 tools.
These attack patterns abuse exactly the kind of access get_content_recommendations 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 best-performing content recommendations for a venue type and optional time context. WHEN TO USE: - Deciding what content to schedule at a specific venue type - Finding content that drives the highest audience engagement at a location - Optimizing content rotation by daypart (morning, afternoon, evening, overnight) - Content programming decisions based on performance data RETURNS: - data: Array of recommended content ranked by performance score - videoId, title, contentCategory, durationSeconds - totalPlays, uniqueScreens - avgAttention (0-1), avgDwellMs - performanceScore (composite of attention, replay density, dwell time) - meta: { count, venue_type, daypart, limit } Performance score formula: attention(40%) + replay_density(30%) + dwell_time(30%) EXAMPLE: User: "What content works best in bars during the evening?" get_content_recommendations({ venue_type: "bar", daypart: "evening", limit: 10 }) User: "Best performing content for transit screens" get_content_recommendations({ venue_type: "transit", limit: 20 }). 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 get_content_recommendations: 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.
get_content_recommendations 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 get_content_recommendations 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 get_content_recommendations. 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.
get_content_recommendations 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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