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call-ceiling

Enforce maximum tool-call limits per AI request.

Updated May 11, 2026
Search Tags:#automation#governance#tool-use#harness#token-management#cost-efficiency
One-click install
npx skills add https://github.com/AesopScott/mojo --skill call-ceiling
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: call-ceiling
Source: https://github.com/AesopScott/mojo/tree/main/harnesses/skills/call-ceiling
Command: npx skills add https://github.com/AesopScott/mojo --skill call-ceiling

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill prevents runaway costs and resource exhaustion by enforcing strict limits on the number of tool calls allowed during an AI request execution.

Core Features & Use Cases

  • Cost Efficiency: Caps tool calls to ensure AI runs stay within budget and token limits.
  • Harness Control: Provides a structured runbook for modifying tool-use authority, including allowlists and call volume limits.
  • Use Case: When developing or testing a new AI agent, use this Skill to define a maximum tool-call threshold, ensuring the agent does not enter an infinite loop or consume excessive API credits during development.

Quick Start

Use the call-ceiling skill to inspect the current tool-use boundary and propose a configuration change that limits the maximum number of tool calls per request.

Frequently Asked Questions about call-ceiling

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I limit AI agent tool calls to prevent excessive token expenditure?▼

To prevent excessive token expenditure, you can enforce a maximum tool-call threshold per request. Setting a hard ceiling stops AI agents from entering infinite loops and consuming unbounded API credits during execution.

What is tool-use governance in AI harness development?▼

Tool-use governance in AI harness development involves enforcing operational boundaries like call volume limits and allowlists. This ensures deterministic execution, manages cost efficiency, and provides auditability for agentic workflows.

How do I configure an allowlist for AI agent tool-use authority?▼

Configuring an allowlist for tool-use authority requires modifying the AI harness runbook. You propose configuration changes that define strict operational boundaries, capping call volumes and restricting which tools the agent can access.

Can I test agentic workflows safely without risking runaway API costs?▼

Yes, you can test agentic workflows safely by applying a strict call ceiling before execution. Enforcing deterministic execution limits prevents runaway costs and resource exhaustion during development and testing phases.

What are the limitations of using static tool-call limits for cost efficiency?▼

Static tool-call limits provide deterministic execution but cannot adapt to complex, multi-step reasoning dynamically. They require manual configuration updates to the harness runbook when workflow requirements or token budgets change.

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