Scoring Methodology

Model Context Protocol — a standardized interface for LLMs to call tools. Official support scores higher because it guarantees maintenance alignment with the product.

A well-documented programmatic API lets agents perform actions via HTTP without needing human-facing interfaces.

CLI tools let agents invoke commands in sandboxed environments. JSON output and non-interactive flags are critical for agent pipelines — they determine whether output can be parsed reliably.

Skills are structured prompts or integrations that let agents use a tool with minimal guesswork. Skill files, agent rules, and prompt libraries reduce hallucination and improve task success rates.

Documentation quality directly affects how well LLMs can reason about a tool. llms.txt provides a curated index; OpenAPI specs enable typed tool-calling; AI quickstarts reduce cold-start errors; copy-as-markdown means docs can be injected into context without manual reformatting.