Medium Risk

session_budget

META / info-only: reports Read-hook pressure for this session (suppressed tokens, reference budget, burn fraction, effective denyThreshold). Does NOT save tokens itself — this is diagnostic, use to decide when to tighten before a big read. NOTE: burnFraction measures hook activity, not actual con...

Part of the Token Pilot server.

session_budget can modify Token Pilot data, with no limits today. PolicyLayer puts allow, deny, and rate-limit rules on every call. Live in minutes.

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AI agents use session_budget to create or modify resources in Token Pilot. Write operations carry medium risk because an autonomous agent could trigger bulk unintended modifications. Rate limits prevent a single agent session from making hundreds of changes in rapid succession. Argument validation ensures the agent passes expected values.

Without a policy, an AI agent could call session_budget repeatedly, creating or modifying resources faster than any human could review. PolicyLayer's rate limiting ensures write operations happen at a controlled pace, and argument validation catches malformed or unexpected inputs before they reach Token Pilot.

Write tools can modify data. A rate limit prevents runaway bulk operations from AI agents.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "session_budget": {
      "limits": [
        {
          "counter": "session_budget_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

See the full Token Pilot policy for all 19 tools.

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These attack patterns abuse exactly the kind of access session_budget 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 session_budget only ever does what you allow.

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Other write tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.

What does the session_budget tool do? +

META / info-only: reports Read-hook pressure for this session (suppressed tokens, reference budget, burn fraction, effective denyThreshold). Does NOT save tokens itself — this is diagnostic, use to decide when to tighten before a big read. NOTE: burnFraction measures hook activity, not actual context-window occupancy.. It is categorised as a Write tool in the Token Pilot MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on session_budget? +

Register the Token Pilot MCP server in PolicyLayer and add a rule for session_budget: 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 Token Pilot. Nothing to install.

What risk level is session_budget? +

session_budget is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit session_budget? +

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

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

session_budget is provided by the Token Pilot MCP server (token-pilot). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Token Pilot tool call.

Deterministic rules across all 19 Token Pilot tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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