← Mathematical compendium

Published equation contexts

nsˉn\bar{s}

Why this formula appears here

Anthropic’s own engineering documentation gives concrete magnitudes for what nsˉ\bar{s} looks like in a realistic deployment. A worked example lists five connected MCP servers — GitHub with 35 tools consuming roughly 26,000 tokens, Slack with 11 tools at roughly 21,000, Sentry with 5 tools at roughly 3,000, Grafana with 5 tools at roughly 3,000, and Splunk with 2 tools at roughly 2,000 — for a total the documentation states plainly: “That’s 58 tools consuming approximately 55K tokens before the conversation even starts” [ 5 ] . A separate figure from the same source is larger still: “At Anthropic, we’ve seen tool definitions consume 134K tokens before optimization” [ 5 ] . Dividing the first…

Read the full article-specific guide →

Read the representative guide

nn

Symbol n

n is a part of this expression. Its role is fixed by the surrounding article and by the operations shown in the formula.

Read this term in its guide →
sˉ\bar{s}

Symbol bars

bars is a part of this expression. Its role is fixed by the surrounding article and by the operations shown in the formula.

Read this term in its guide →

How to interpret it

Read this expression with the definitions, units, and assumptions supplied by the article.

Research cited beside this formula

Published contexts (1)

A symbol can carry a different meaning in another article. Each occurrence keeps its own guide and term definitions.

nsˉn\bar{s}

Equation 8 · AI Infrastructure

The Token Tax of Giving a Model More Tools

This mathematical expression combines the displayed quantities; its precise role follows from the surrounding article text.

Anthropic’s own engineering documentation gives concrete magnitudes for what nsˉ\bar{s} looks like in a realistic deployment. A worked example lists five connected MCP servers — GitHub with 35 tools consuming roughly 26,000 tokens, Slack with 11 tools at roughly 21,000, Sentry with 5 tools at roughly 3,000, Grafana with 5 tools at roughly 3,000, and Splunk with 2 tools at roughly 2,000 — for a total the documentation states plainly: “That’s 58 tools consuming approximately 55K tokens before the conversation even starts” [ 5 ] . A separate figure from the same source is larger still: “At Anthropic, we’ve seen tool definitions consume 134K tokens before optimization” [ 5 ] . Dividing the first…

Equation guide → · Article →