Equation 1 · The Economics, Energy, and Physical Limits of Tool Protocols and the Model Context Protocol
What does this equation mean?
Read the formula alongside the article passage below. Each part has a deeper page with its role in the equation, the supporting passage and nearby citations.
This equation states an equality: the expressions on both sides have the same value under the article’s assumptions. Read the equation part by part below; each part has a contextual explanation and a link to its mathematical background.
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Symbol T_turn
urn is part of the quantity the equation computes from the expression on the right.
Symbol T_system
ystem is one of the signed contributions combined to compute the quantity on the left.
Symbol T_tools
ools is one of the signed contributions combined to compute the quantity on the left.
Symbol i
i appears in the bound of this sum. The bound states where the repeated operation starts, ends, or which values it includes.
Symbol n
n appears in the bound of this sum. The bound states where the repeated operation starts, ends, or which values it includes.
Symbol T_result,i
esult,i is one of the signed contributions combined to compute the quantity on the left.
Symbol T_exchange
the live user message and the model’s own reply, and the summation term is every prior tool result the session has decided to keep.
=
The expressions on both sides represent the same quantity under the stated assumptions.
See an illustrated explanation →subscript
The lower label selects a particular version, component, or indexed member of the quantity. For example, x₀ and xₜ can be values at different positions.
superscript
A raised number can be a power. When it is a label or bound, it selects a case or the upper limit of a sum; the formula’s structure distinguishes these uses.
See an illustrated explanation →Starting index or lower bound: i=1
This label says where the repeated addition, multiplication, or accumulation starts. Read its value or condition together with the article’s description of the index.
Ending index or upper bound: n
This label says where the repeated addition, multiplication, or accumulation stops. It sets the last term or end of the range.
How to interpret it
Read it with the definitions, units, and assumptions supplied by the article.
What the article says around this equation
A useful way to see the shape of the tax is to write out what actually occupies a turn’s context budget: . is the operator’s own instructions, is the serialised cost of every tool schema currently declared, is the live user message and the model’s own reply, and the summation term is every prior tool result the session has decided to keep. The point of writing it this way is that is paid in full on the very first turn, before a single tool has been called and before it is known whether any tool will be needed at all. A deployment that registers thirty MCP servers, each exposing a handful of…
Read the full surrounding passage
A useful way to see the shape of the tax is to write out what actually occupies a turn’s context budget: . is the operator’s own instructions, is the serialised cost of every tool schema currently declared, is the live user message and the model’s own reply, and the summation term is every prior tool result the session has decided to keep. The point of writing it this way is that is paid in full on the very first turn, before a single tool has been called and before it is known whether any tool will be needed at all. A deployment that registers thirty MCP servers, each exposing a handful of tools with a paragraph of description and a nested JSON Schema, can easily spend several thousand tokens of every request on a catalogue the model consults for perhaps one or two entries. That is not a defect in any particular implementation; it is a direct consequence of a protocol whose entire purpose is to describe capability generically, to a reader who cannot be assumed to already know it.
Sources cited in the article section
- [1] Model Context Protocol Specification (2025-06-18) ↗
- [4] Function calling ↗
- [5] Gorilla: Large Language Model Connected with Massive APIs ↗
- [6] ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs ↗
- [12] MCP Security Notification: Tool Poisoning Attacks ↗
These citations give research context. Read each source to check which claims it supports.