Low Risk

burnrate_estimate

Before executing a multi-step agent plan, estimate the total LLM cost. Returns per-step breakdown and optimization suggestions. If the estimate exceeds your budget, pipe the same plan into burnrate_optimize. Costs 1 credit.

Part of the Plith server.

burnrate_estimate 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 burnrate_estimate to retrieve information from Plith 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 burnrate_estimate 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": {
    "burnrate_estimate": {}
  }
}

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Get this rule live on your own Plith server in minutes. PolicyLayer enforces it on every call, before it runs.

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

Browse the full MCP Attack Database →

Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so burnrate_estimate 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 burnrate_estimate tool do? +

Before executing a multi-step agent plan, estimate the total LLM cost. Returns per-step breakdown and optimization suggestions. If the estimate exceeds your budget, pipe the same plan into burnrate_optimize. Costs 1 credit.. It is categorised as a Read tool in the Plith MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on burnrate_estimate? +

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

What risk level is burnrate_estimate? +

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

Can I rate-limit burnrate_estimate? +

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

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

burnrate_estimate is provided by the Plith MCP server (https://plith.ai/api/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Plith tool call.

Deterministic rules across all 15 Plith tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

Free to start. No card required.

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