policy_budget_set

SERVERClaude Flow SOURCEclaude-flow

Medium RISK CLASS

Category Write

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-ruvnet-claude-flow/policy-budget-set.md

WHAT IT DOES

What policy_budget_set does on Claude Flow

AI agents use policy_budget_set to create or update resources in Claude Flow, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Claude Flow environment.

RISK

Why policy_budget_set is rated Medium

This tool modifies policy state by setting or updating budget constraints for agents. While it constrains spending rather than moving money directly, it creates enforceable financial limits and commits them transactionally. The blast radius is high because misconfiguration could disable spending controls (too high) or block legitimate operations (too low), affecting enterprise financial governance.

From the tool's definition Tool description explicitly states 'Create or update an atomic USD/token ceiling' and 'budget checks and decision receipts commit under the same policy-state lock.' The words 'Create or update' indicate write operations; 'atomic' and 'lock' indicate…

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs policy_budget_set safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Claude Flow, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For policy_budget_set, this is the rule to start with:

policy_budget_set Rate-limited

policy_budget_set stays usable, but capped: an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "policy_budget_set": {
      "limits": [
        {
          "counter": "policy_budget_set_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Claude Flow, apply this rule, and every policy_budget_set call is checked against it from then on.

FAQ

Questions about policy_budget_set

What does the policy_budget_set tool do? +

Create or update an atomic USD/token ceiling for a principal, action, and resource window. Use when constraining agent spend; budget checks and decision receipts commit under the same policy-state lock. It is categorised as a Write tool in the Claude Flow MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on policy_budget_set? +

Register the Claude Flow MCP server in PolicyLayer and add a rule for policy_budget_set: 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 Claude Flow. Nothing to install.

What risk level is policy_budget_set? +

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

Can I rate-limit policy_budget_set? +

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

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

policy_budget_set is provided by the Claude Flow MCP server (claude-flow). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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