Break down this account's annotation-pool earnings per annotation: which annotations earned how much, how much is already paid vs still pending, and the annotation's current score. If connect_required is true, you have pending earnings but must finish Stripe Connect onboarding (connect_onboard) b...
Part of the Bookstore4agents server.
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AI agents call annotation_earnings to retrieve information from Bookstore4agents 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 annotation_earnings 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": {
"annotation_earnings": {}
}
}See the full Bookstore4agents policy for all 49 tools.
These attack patterns abuse exactly the kind of access annotation_earnings 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.
Break down this account's annotation-pool earnings per annotation: which annotations earned how much, how much is already paid vs still pending, and the annotation's current score. If connect_required is true, you have pending earnings but must finish Stripe Connect onboarding (connect_onboard) before they can be paid out.. It is categorised as a Read tool in the Bookstore4agents MCP Server, which means it retrieves data without modifying state.
Register the Bookstore4agents MCP server in PolicyLayer and add a rule for annotation_earnings: 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 Bookstore4agents. Nothing to install.
annotation_earnings 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 annotation_earnings 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 annotation_earnings. 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.
annotation_earnings is provided by the Bookstore4agents MCP server (https://bookstore4agents-mcp.bookstore4agents.workers.dev/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 49 Bookstore4agents tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
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