[AdCP Media Buy] Provide optimization signals from buyer agent. Accepts feedback from buyer agents for floor price adjustment and inventory optimization. Enables closed-loop optimization between buyer and seller agents. WHEN TO USE: - Sending bid response feedback to optimize future pricing - Pro...
Part of the Trillboards DOOH Advertising server.
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AI agents invoke provide_performance_feedback to trigger processes or run actions in Trillboards DOOH Advertising. 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.
provide_performance_feedback 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": {
"provide_performance_feedback": {
"limits": [
{
"counter": "provide_performance_feedback_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
}See the full Trillboards DOOH Advertising policy for all 74 tools.
These attack patterns abuse exactly the kind of access provide_performance_feedback 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.
[AdCP Media Buy] Provide optimization signals from buyer agent. Accepts feedback from buyer agents for floor price adjustment and inventory optimization. Enables closed-loop optimization between buyer and seller agents. WHEN TO USE: - Sending bid response feedback to optimize future pricing - Providing conversion data for bid price calibration - Adjusting floor prices based on demand signals EXAMPLE: provide_performance_feedback({ media_buy_id: "mbuy_abc123", feedback: { type: "bid_response", avg_bid_price_cpm: 6.5, fill_rate_percent: 72, preferred_hours: [8, 9, 10, 17, 18], quality_score: 0.85 } }). It is categorised as a Execute tool in the Trillboards DOOH Advertising MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Trillboards DOOH Advertising MCP server in PolicyLayer and add a rule for provide_performance_feedback: 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.
provide_performance_feedback 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 provide_performance_feedback 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 provide_performance_feedback. 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.
provide_performance_feedback 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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