Get a past exam for practice. Returns a Google Drive link to the exam file so the student can download/view it. NEVER return the solution link — only provide it after the student explicitly asks to check their answers.
Part of the Sad MCP server. Enforce policies on this tool with Intercept, the open-source MCP proxy.
AI agents call practice_exam to retrieve information from Sad 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 practice_exam 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.
tools:
practice_exam:
rules:
- action: allowSee the full Sad policy for all 15 tools.
Agents calling read-class tools like practice_exam have been implicated in these attack patterns. Read the full case and prevention policy for each:
Other tools in the Read risk category across the catalogue. The same policy patterns (rate-limit, allow) apply to each.
Get a past exam for practice. Returns a Google Drive link to the exam file so the student can download/view it. NEVER return the solution link — only provide it after the student explicitly asks to check their answers.. It is categorised as a Read tool in the Sad MCP Server, which means it retrieves data without modifying state.
Add a rule in your Intercept YAML policy under the tools section for practice_exam. You can allow, deny, rate-limit, or validate arguments. Then run Intercept as a proxy in front of the Sad MCP server.
practice_exam 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 practice_exam rule in your Intercept 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 Intercept policy for practice_exam. 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.
practice_exam is provided by the Sad MCP server (sad-mcp). Intercept sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic policy on every MCP tool call. Per-identity grants. Full audit log.