List annotations attached to a book. Useful before purchase (to gauge community engagement) or after (to read commentary alongside the book).
Part of the Bookstore4agents server.
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AI agents call list_annotations 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 list_annotations 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": {
"list_annotations": {}
}
}See the full Bookstore4agents policy for all 49 tools.
These attack patterns abuse exactly the kind of access list_annotations 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.
List annotations attached to a book. Useful before purchase (to gauge community engagement) or after (to read commentary alongside the book).. 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 list_annotations: 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.
list_annotations 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 list_annotations 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 list_annotations. 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.
list_annotations 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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