A language model maps context to a prediction or structured proposal. Tools, state, policies, validation, and control flow turn model calls into a bounded agent system.

A Model Is One Component, Not the Whole Agent

An embedding maps content to a numeric vector so a distance measure can approximate similarity. Nearby vectors may still differ in truth, authority, time, or required access.

Embeddings Encode Similarity, Not Meaning Guarantees

In this situation—using a model to propose a route while code validates accessibility constraints—which choice best applies “A Model Is One Component, Not the Whole Agent”?

A tool schema defines required fields, types, allowed values, and returned forms. Validation before execution prevents malformed model output from becoming an external side effect.

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