Start with a minimal tool-using agent
Begin with one user goal and one safe, read-only tool. Define a structured input schema, explicit timeout, bounded result size and error categories. Keep credentials outside prompts and repositories. Log tool calls with request identifiers, but avoid recording raw secrets or sensitive customer data. Test a deterministic response before adding autonomous planning.
Design the tool contract
Describe what a tool does, the accepted arguments and the exact permissions it needs. Validate every argument server-side, regardless of what the model proposes. Restrict file paths, domains, commands and database rows to the user's authorized scope. Return structured errors instead of vague success messages. Never treat a language model as an access-control system.
Introduce MCP carefully
MCP can standardize how tools, resources and prompts are exposed to clients, but it does not prove that a particular server is safe. Inspect the server implementation, deployment transport, authentication, authorization, output encoding and sensitive-data policies. Begin with local disposable inputs. Do not run unreviewed third-party commands or install privileged servers merely because they appear in a directory.
Add evaluation before scale
Write test scenarios covering correct outcomes, tool failure, unauthorized requests, malformed arguments, prompt injection, cancellation and interrupted execution. Separate model answer quality from downstream action success. Use versioned prompts, dataset hashes and reproducible environment settings. Keep results for review instead of displaying synthetic performance percentages.
Operate with human controls
Separate read-only suggestions from actions that write to services or move money. Require human review for consequential changes, and bind approval to the exact action and parameters. Use least-privilege credentials and short retention where possible. Record recovery procedures for rate limits, unavailable providers and interrupted jobs.
Publish only evidence-backed learning resources
A good tutorial lists prerequisites, compatible versions, exact command semantics, expected output, tested date and known limitations. Broken examples should be corrected or clearly marked as pending retest. Treat a code listing as educational unless the steps have been executed against the documented environment.
Frequently asked questions
Does a published catalog identity mean every product claim is verified?
No. Identity and upstream-source verification are separate from price, performance, regulatory, security and integration assertions. Consult the dated source attached to the individual field.
Can I select a product from one score?
No. Compare representative task success, security controls, billing and support using consistent conditions and evidence.
Related references
Editorial note: this guide is explanatory. Product-specific current prices, benchmark standings and compliance claims require independent primary-source verification before display.