tool-response-contract

Enforce consistent response shapes across chatbot tools, routes, SSE events, and MCP tools.

7|2|Updated Oct 28, 2025
One-click install
npx skills add https://github.com/SkastVnT/AI-Assistant --skill tool-response-contract
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: tool-response-contract
Source: https://github.com/SkastVnT/AI-Assistant/tree/main/.github/skills/tool-response-contract
Command: npx skills add https://github.com/SkastVnT/AI-Assistant --skill tool-response-contract

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Defines and enforces standardized response shapes for tool functions, route handlers, SSE events, and MCP tools across the chatbot stack to ensure predictable, debuggable outputs.

Core Features & Use Cases

  • Contract-first workflow for any change to tool outputs or API responses, with explicit downstream impact assessment.
  • Safe-touch and avoid zones that document where changes must not silently break consumers or require sweeping frontend rewrites.
  • Centralized response-type registry that codifies expected return shapes for tool functions, routes, SSE events, and MCP tools, enabling consistent parsing and error handling.
  • Comprehensive SSE event catalog and frontend consumer mapping to guarantee forward and backward compatibility of streamed data.
  • Clear monitoring guidelines for success, partial success, and failure paths to catch regressions early.
  • Frontend and MCP integration hygiene that enforcement data contracts across all transport layers.

Quick Start

Define the response contract for a new tool and verify downstream consumers before deploying.

Frequently Asked Questions about tool-response-contract

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

FAQPage Schema
How do I enforce consistent API response contracts across chatbot tools and routes?

You can enforce API response contracts by defining a centralized response-type registry that codifies expected return shapes for tool functions, routes, and MCP tools, ensuring predictable and debuggable outputs across your chatbot stack.

Why do my frontend consumers break when SSE event payloads change in the backend?

Frontend consumers break when SSE event payloads change because there is no comprehensive SSE event catalog and frontend consumer mapping to guarantee forward and backward compatibility of streamed data.

How do I assess downstream impact before modifying a tool response shape?

You can assess downstream impact by using a contract-first workflow to trace downstream consumers from backend to frontend, explicitly evaluating safe-touch and avoid zones before deploying any changes to tool outputs.

What is a contract-first workflow for backend tool output changes?

A contract-first workflow for tool output changes requires specifying additive updates, mandatory fields in complete payloads, and documented impact checks before deployment to maintain backward compatibility and prevent silent breaks.

How do I monitor success and failure paths for chatbot tool responses?

You can monitor success, partial success, and failure paths by following clear monitoring guidelines that utilize the centralized response-type registry to enforce consistent parsing, error handling, and early regression detection.

Does this approach maintain backward compatibility for streamed SSE data?

Yes, it maintains backward compatibility for streamed SSE data by mapping frontend consumers to a comprehensive SSE event catalog and enforcing data contracts across all transport layers.