Use these checklists when choosing, building, or reviewing tools that AI agents will operate. They focus on the interface details that decide whether an agent can act safely: schemas, scopes, dry runs, receipts, status checks, logs, and recovery paths.
Check whether a command-line tool is safe for automated agent runs. Covers non-interactive flags, structured output, exit codes, dry runs, config, and secret handling.
Review MCP servers as production tool surfaces, not just integration wrappers. Covers discoverable tools, narrow permissions, idempotency, receipts, verification, and recovery.
Pick the surface your agents use most, then copy a small review plan for an internal ticket or use it to pre-fill an inquiry.
Need an outside review of a tool surface?
AgentFirstTools can turn the checklist into a narrow paid review: what an agent can safely discover, call, verify, and recover from, plus the smallest product or engineering changes that would reduce supervision.
Which checklist should you use first?
If agents call a hosted product directly, start with the API checklist. Most agent workflows depend on predictable request and response shapes, scoped credentials, explicit errors, and durable receipts.
If agents run commands in terminals, add the CLI checklist. A good CLI needs machine-readable output, stable exit codes, non-interactive operation, bounded logs, and clear rollback or cleanup steps.
If agents connect through MCP, use the MCP checklist as the operating-surface review. MCP improves connection and discovery, but the underlying tools still need narrow authority, verifiable outcomes, and recoverable failures.
Fast rule: a tool is not agent-first because it has an API, CLI, or MCP server. It is agent-first when an autonomous system can discover what it is allowed to do, take the smallest safe action, verify the outcome, and recover when something goes wrong.