Annual framework review evidence bundle — checklist, stats, Art. 6(5) compliance.
Part of the Governanceoracle server.
Free to start. No card required.
AI agents call annual_review to retrieve information from Governanceoracle 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 annual_review 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.
{
"version": "1",
"default": "deny",
"tools": {
"annual_review": {}
}
}See the full Governanceoracle policy for all 11 tools.
These attack patterns abuse exactly the kind of access annual_review gives an agent. Each links to the full case and the policy that stops it:
Other read tools across the catalogue. The same approach applies to each: allow, with a rate cap to control cost.
Annual framework review evidence bundle — checklist, stats, Art. 6(5) compliance.. It is categorised as a Read tool in the Governanceoracle MCP Server, which means it retrieves data without modifying state.
Register the Governanceoracle MCP server in PolicyLayer and add a rule for annual_review: 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 Governanceoracle. Nothing to install.
annual_review 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 annual_review 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 annual_review. 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.
annual_review is provided by the Governanceoracle MCP server (https://tooloracle.io/governance/mcp/). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 11 Governanceoracle tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
Free to start. No card required.
4,600+ MCP servers and 31,000+ tools scanned and risk-classified.