Semantic search over content library using natural language queries and 768-D pgvector embeddings. WHEN TO USE: - Finding content by description or theme ("upbeat music videos", "cooking shows") - Discovering content similar to a concept or mood - Searching the content library without knowing exa...
Risk signalsAccepts freeform code/query input (query)
Part of the Trillboards DOOH Advertising server.
Free to start. No card required.
AI agents call search_content 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 search_content 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": {
"search_content": {}
}
} See the full Trillboards DOOH Advertising policy for all 74 tools.
These attack patterns abuse exactly the kind of access search_content 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.
Semantic search over content library using natural language queries and 768-D pgvector embeddings. WHEN TO USE: - Finding content by description or theme ("upbeat music videos", "cooking shows") - Discovering content similar to a concept or mood - Searching the content library without knowing exact titles or IDs - Content discovery for programmatic content scheduling RETURNS: - data: Array of matching content with similarity scores - videoId, title, contentCategory, description, durationSeconds - reviewStatus (approved/pending/rejected) - similarity (0-1, cosine similarity against query embedding) - meta: { count, query, limit, minSimilarity } EXAMPLE: User: "Find fitness and workout content" search_content({ query: "fitness workout exercise gym", limit: 10, min_similarity: 0.6 }) User: "Search for calming nature content suitable for medical offices" search_content({ query: "calming nature scenes peaceful landscapes meditation", min_similarity: 0.5 }). 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 search_content: 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.
search_content 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 search_content 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 search_content. 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.
search_content 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.
4,600+ MCP servers and 31,000+ tools scanned and risk-classified.