Low Risk

request_think_tank_revision

Spend a free revision turn on a completed think tank order. Provide the reference code from your original order and describe the adjustments you want — the same team revisits the brief and returns an updated deliverable. Poll get_result with the reference code to retrieve it. Free: no payment req...

Part of the Taste server.

request_think_tank_revision 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 request_think_tank_revision to retrieve information from Taste 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 request_think_tank_revision 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": {
    "request_think_tank_revision": {}
  }
}

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These attack patterns abuse exactly the kind of access request_think_tank_revision 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 request_think_tank_revision 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 request_think_tank_revision tool do? +

Spend a free revision turn on a completed think tank order. Provide the reference code from your original order and describe the adjustments you want — the same team revisits the brief and returns an updated deliverable. Poll get_result with the reference code to retrieve it. Free: no payment required, the turn is included with your order.. It is categorised as a Read tool in the Taste MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on request_think_tank_revision? +

Register the Taste MCP server in PolicyLayer and add a rule for request_think_tank_revision: 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 Taste. Nothing to install.

What risk level is request_think_tank_revision? +

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

Can I rate-limit request_think_tank_revision? +

Yes. Add a rate_limit block to the request_think_tank_revision 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 request_think_tank_revision completely? +

Set action: deny in the PolicyLayer policy for request_think_tank_revision. 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 request_think_tank_revision? +

request_think_tank_revision is provided by the Taste MCP server (https://api.humantaste.app/mcp/). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Taste tool call.

Deterministic rules across all 17 Taste tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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