DeepThinking AI

Tag

cost

Covered in Agents & ProtocolsAI Engineering, where the background and the sources for this subject live.

Agents & Protocols

How do cacheable MCP tool lists change your token bill?

MCP revision 2026-07-28 requires ttlMs and cacheScope on every list result and tells servers to return tools in a deterministic order. Both are filed as minor changes. They are the most direct cost change in the revision, because tool definitions sit in the cacheable prefix of every agent step.

3 min read

Agents & Protocols

Progressive MCP vs CLI: which actually cuts tokens?

Anthropic measured one Drive to Salesforce transfer falling from 150,000 tokens to 2,000 by writing code against MCP servers instead of calling tools directly. That is a code execution result rather than an argument for deleting MCP. The Agent Skills spec puts numbers on the alternative: about 100 tokens per skill at rest.

4 min read

AI Engineering

When does prompt caching actually save money?

Prompt caching stores a prefix of your prompt so later requests reuse it instead of reprocessing it. Reads are far cheaper than base input tokens, but writing the cache costs a premium and entries expire. It pays whenever a large stable prefix is reused several times inside the TTL, and loses on one-shot traffic.

5 min read