Return a proposed monthly budget split across paid channels (meta/google/tiktok). site_id is OPTIONAL when the request is OAuth-authenticated. Path B (ad spend connected): precise weight = ROAS × (1 − saturation) with expected ROAS uplift. Path A (no ad spend): RPS-weighted proportional split wit...
Part of the RevenueScope: Japanese EC RPS Benchmarks server.
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AI agents call suggest_budget_allocation to retrieve information from RevenueScope: Japanese EC RPS Benchmarks 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 suggest_budget_allocation 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": {
"suggest_budget_allocation": {}
}
}See the full RevenueScope: Japanese EC RPS Benchmarks policy for all 7 tools.
These attack patterns abuse exactly the kind of access suggest_budget_allocation 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.
Return a proposed monthly budget split across paid channels (meta/google/tiktok). site_id is OPTIONAL when the request is OAuth-authenticated. Path B (ad spend connected): precise weight = ROAS × (1 − saturation) with expected ROAS uplift. Path A (no ad spend): RPS-weighted proportional split with explicit ±20-30% caveats and a connect_incentive_message. Default period for the underlying ROAS/RPS data is 30 days; pass period='today' / '7d' / '90d' or a raw day count (1-365) to override. LLMs should pass assumptions, limitations, and connect_incentive_message through verbatim — they are hardcoded honest axis.. It is categorised as a Read tool in the RevenueScope: Japanese EC RPS Benchmarks MCP Server, which means it retrieves data without modifying state.
Register the RevenueScope: Japanese EC RPS Benchmarks MCP server in PolicyLayer and add a rule for suggest_budget_allocation: 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 RevenueScope: Japanese EC RPS Benchmarks. Nothing to install.
suggest_budget_allocation 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 suggest_budget_allocation 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 suggest_budget_allocation. 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.
suggest_budget_allocation is provided by the RevenueScope: Japanese EC RPS Benchmarks MCP server (https://mcp.revenuescope.jp/api/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 7 RevenueScope: Japanese EC RPS Benchmarks tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
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