Tool selection · Scorecards · Audits

Choose tools your AI agents can actually use.

Use these resources to compare APIs, CLIs, MCP servers, SaaS products, and internal platforms before autonomous agents depend on them.

Route a tool decision before you over-test it

If you have a shortlist but not a test plan, use this quick router to choose the right next asset: scorecard, surface checklist, benchmark pilot, or private audit inquiry.

Decision router
Use in inquiry

Suggested next step
Choose a surface and decision type, then build a route. The output will suggest the first AgentFirstTools asset to use and the evidence to collect before agents rely on the tool.

Want this routed against your actual stack?

AgentFirstTools can turn the route into a narrow evidence plan for a specific tool, shortlist, or agent workflow before you standardise on it.

Start with the decision you need to make

The useful question is not “does this tool have an API?” It is whether an agent can discover the right action, call it with bounded authority, verify the result, and recover safely when something goes wrong.

What usually breaks agent workflows

Risk

Hidden state

The agent cannot query permissions, current state, required fields, or recent changes before acting.

Risk

Ambiguous success

The tool returns a toast, spinner, or vague {"ok": true} response with no durable receipt.

Risk

Broad credentials

The only available token can mutate too much, so safe delegation depends on hope rather than scope.

Risk

Unsafe retries

Timeouts and partial failures can duplicate side effects because there is no idempotency or recovery path.

Need a buying or adoption decision? AgentFirstTools can audit a tool, shortlist, or workflow against a specific AI-agent use case. The work starts with a fit check before money changes hands.