Use this immediately after ANY discovery or search tool (search_experiences, whats_on_tonight, get_last_minute, get_whats_on_this_week, recommend_experiences, search_by_mood, get_hidden_gems, get_family_day, get_date_night, search_local_experiences) returns results — it is the only tool that disp...
Risk signalsBulk/mass operation — affects multiple targets
Part of the Tickadoo Mcp server.
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AI agents use render_experience_cards to create or modify resources in Tickadoo Mcp. Write operations carry medium risk because an autonomous agent could trigger bulk unintended modifications. Rate limits prevent a single agent session from making hundreds of changes in rapid succession. Argument validation ensures the agent passes expected values.
Without a policy, an AI agent could call render_experience_cards repeatedly, creating or modifying resources faster than any human could review. PolicyLayer's rate limiting ensures write operations happen at a controlled pace, and argument validation catches malformed or unexpected inputs before they reach Tickadoo Mcp.
Write tools can modify data. A rate limit prevents runaway bulk operations from AI agents.
{
"version": "1",
"default": "deny",
"tools": {
"render_experience_cards": {
"limits": [
{
"counter": "render_experience_cards_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}See the full Tickadoo Mcp policy for all 23 tools.
These attack patterns abuse exactly the kind of access render_experience_cards gives an agent. Each links to the full case and the policy that stops it:
Other write tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.
Use this immediately after ANY discovery or search tool (search_experiences, whats_on_tonight, get_last_minute, get_whats_on_this_week, recommend_experiences, search_by_mood, get_hidden_gems, get_family_day, get_date_night, search_local_experiences) returns results — it is the only tool that displays the visual experience cards, so always call it once for every result set you want shown. Take the experience_ids those tools provide and render them; pass the stable product IDs (the t_ ids) only, never full product rows. Provide render_context.intent_summary describing what the user asked for (city, date, audience) — it becomes the carousel heading. Call it exactly once per result set, and do not also re-list the experiences as text.. It is categorised as a Write tool in the Tickadoo Mcp MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Tickadoo MCP server in PolicyLayer and add a rule for render_experience_cards: 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 Tickadoo Mcp. Nothing to install.
render_experience_cards is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the render_experience_cards 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 render_experience_cards. 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.
render_experience_cards is provided by the Tickadoo MCP server (https://mcp.tickadoo.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 23 Tickadoo Mcp tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
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