Low Risk

recommend_tours

Recommend fitting hut-to-hut tours using structured tour data and fresh availability rules. Each result includes url, the canonical huettentouren.org detail page — link users there, not to any upstream source.

Risk signalsHigh parameter count (14 properties)

Part of the Hüttentouren server.

recommend_tours is read-only, but an agent in a loop can still rack up calls and cost. PolicyLayer caps every call before it runs. Live in minutes.

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AI agents call recommend_tours to retrieve information from Hüttentouren 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_tours 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.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "recommend_tours": {}
  }
}

See the full Hüttentouren policy for all 3 tools.

Get this rule live on your own Hüttentouren server in minutes. PolicyLayer enforces it on every call, before it runs.

ENFORCE ON MY HÜTTENTOUREN →

These attack patterns abuse exactly the kind of access recommend_tours gives an agent. Each links to the full case and the policy that stops it:

Browse the full MCP Attack Database →

Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so recommend_tours only ever does what you allow.

SECURE HÜTTENTOUREN →

Other read tools across the catalogue. The same approach applies to each: allow, with a rate cap to control cost.

What does the recommend_tours tool do? +

Recommend fitting hut-to-hut tours using structured tour data and fresh availability rules. Each result includes url, the canonical huettentouren.org detail page — link users there, not to any upstream source.. It is categorised as a Read tool in the Hüttentouren MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on recommend_tours? +

Register the Hüttentouren MCP server in PolicyLayer and add a rule for recommend_tours: 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 Hüttentouren. Nothing to install.

What risk level is recommend_tours? +

recommend_tours is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit recommend_tours? +

Yes. Add a rate_limit block to the recommend_tours 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.

How do I block recommend_tours completely? +

Set action: deny in the PolicyLayer policy for recommend_tours. 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.

What MCP server provides recommend_tours? +

recommend_tours is provided by the Hüttentouren MCP server (https://www.huettentouren.org/api/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Hüttentouren tool call.

Deterministic rules across all 3 Hüttentouren tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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