Generate a Swiss law exam practice question (Fallbearbeitung) based on a real BGE. Returns a fact pattern (Sachverhalt) from a real court decision and a hidden analysis (applicable statutes, leading case, legal test, correct outcome). Workflow: present the fact_pattern and hint to the student, wa...
Part of the Swiss Case Law server.
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AI agents use generate_exam_question to create or modify resources in Swiss Case Law. 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 generate_exam_question 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 Swiss Case Law.
Write tools can modify data. A rate limit prevents runaway bulk operations from AI agents.
{
"version": "1",
"default": "deny",
"tools": {
"generate_exam_question": {
"limits": [
{
"counter": "generate_exam_question_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}See the full Swiss Case Law policy for all 39 tools.
These attack patterns abuse exactly the kind of access generate_exam_question 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.
Generate a Swiss law exam practice question (Fallbearbeitung) based on a real BGE. Returns a fact pattern (Sachverhalt) from a real court decision and a hidden analysis (applicable statutes, leading case, legal test, correct outcome). Workflow: present the fact_pattern and hint to the student, wait for their analysis, then reveal the analysis field and compare. The student can then call get_case_brief(source_decision_id) to study the full case. Pass exclude_ids from previous calls to avoid repeating the same case.. It is categorised as a Write tool in the Swiss Case Law MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Swiss Case Law MCP server in PolicyLayer and add a rule for generate_exam_question: 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.
generate_exam_question 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 generate_exam_question 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 generate_exam_question. 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.
generate_exam_question 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.
Deterministic rules across all 39 Swiss Case Law tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
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