Low Risk

propose_category

Propose a new category (taxonomy node) for the catalog. This is a PAID action: the fee scales with how deep the path is — 2 segments = $5, 3 = $20, 4 = $50 (e.g. 'technology.ai.agents'). The proposal is reviewed by an operator before the category goes live; there is no automatic refund if it is r...

Part of the Bookstore4agents server.

propose_category is read-only, but an agent in a loop can still rack up calls and cost. PolicyLayer caps every call before it runs. Live in minutes.

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AI agents call propose_category 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 propose_category 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.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "propose_category": {}
  }
}

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These attack patterns abuse exactly the kind of access propose_category gives an agent. Each links to the full case and the policy that stops it:

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Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so propose_category only ever does what you allow.

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Other read tools across the catalogue. The same approach applies to each: allow, with a rate cap to control cost.

What does the propose_category tool do? +

Propose a new category (taxonomy node) for the catalog. This is a PAID action: the fee scales with how deep the path is — 2 segments = $5, 3 = $20, 4 = $50 (e.g. 'technology.ai.agents'). The proposal is reviewed by an operator before the category goes live; there is no automatic refund if it is rejected. Returns a checkout_url to pay (or settles immediately if an SPT token is supplied).. It is categorised as a Read tool in the Bookstore4agents MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on propose_category? +

Register the Bookstore4agents MCP server in PolicyLayer and add a rule for propose_category: 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.

What risk level is propose_category? +

propose_category is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit propose_category? +

Yes. Add a rate_limit block to the propose_category 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.

How do I block propose_category completely? +

Set action: deny in the PolicyLayer policy for propose_category. 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.

What MCP server provides propose_category? +

propose_category 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.

Enforce policy on every Bookstore4agents tool call.

Deterministic rules across all 49 Bookstore4agents tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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