Low Risk

get_decision_structure

Structured decision fields: Sachverhalt (facts), Erwägungen as numbered paragraphs ('1', '1.1', '2.3'), Dispositiv (ruling), Regeste (BGE only). Federal decisions only; for cantonal use get_decision. Returns excerpts; for verbatim full text of one Erwägung, use get_erwaegung. PINPOINT POLICY: nev...

Part of the Swiss Case Law server.

get_decision_structure 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 get_decision_structure to retrieve information from Swiss Case Law 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_decision_structure 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": {
    "get_decision_structure": {}
  }
}

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

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

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

What does the get_decision_structure tool do? +

Structured decision fields: Sachverhalt (facts), Erwägungen as numbered paragraphs ('1', '1.1', '2.3'), Dispositiv (ruling), Regeste (BGE only). Federal decisions only; for cantonal use get_decision. Returns excerpts; for verbatim full text of one Erwägung, use get_erwaegung. PINPOINT POLICY: never guess. If user gave an e_number → verify with get_erwaegung. If user gave only a claim → use find_relevant_erwaegung (FTS5+BM25 with confidence labels). If neither is confident, report no_match — do NOT default to E. 3.1.. It is categorised as a Read tool in the Swiss Case Law MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_decision_structure? +

Register the Swiss Case Law MCP server in PolicyLayer and add a rule for get_decision_structure: 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 Swiss Case Law. Nothing to install.

What risk level is get_decision_structure? +

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

Can I rate-limit get_decision_structure? +

Yes. Add a rate_limit block to the get_decision_structure 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 get_decision_structure completely? +

Set action: deny in the PolicyLayer policy for get_decision_structure. 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 get_decision_structure? +

get_decision_structure is provided by the Swiss Case Law MCP server (https://mcp.opencaselaw.ch). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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