MCP and AI agent documentation audit

You’re exposing your software to AI agents. Can they understand which capabilities to use and complete customer tasks correctly?

AI agents offer another way for customers to use your software. To complete tasks correctly, they need to understand which operations to use, what inputs to provide, and which business rules apply.

An API reference alone might leave important questions unanswered. When should an agent cancel an invoice rather than issue a credit note? What approval is needed? After a timeout, should it retry or check whether the action succeeded?

Cherryleaf helps you document the information agents need to make those decisions. We can review and improve:

• API and MCP tool descriptions, including when to use each operation.
• Parameter definitions, examples, outputs, and error messages.
• Business rules, prerequisites, permissions, and consequences.
• Workflows showing how operations combine to complete customer tasks.
• Recovery guidance for failed or partially completed operations.

We can also evaluate how selected AI agents use that information against representative customer tasks. You receive findings and prioritised recommendations covering documentation gaps and issues that need engineering review.

Clear documentation supports reliable agent behaviour. Permissions, validation, and approval controls must also be enforced by your software.