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LLM tool token overhead depends on harness, analysis finds

By PulseAugur Editorial · [1 sources] ·

A recent analysis explored the token overhead associated with using MCP (Model Communication Protocol) for LLM tool definitions, finding that the actual token cost varies significantly based on the harness implementation. While some argued MCP inherently consumes substantial tokens, the study demonstrated that the harness plays a crucial role in determining how many tokens are sent to the model. For instance, GitHub's MCP server, with its default settings, can consume over 11,000 tokens for tool definitions alone, with JSON schemas constituting the majority of this overhead. AI

IMPACT Understanding token costs for LLM tool definitions is crucial for optimizing agent performance and managing API expenses.

RANK_REASON Analysis of technical implementation details regarding LLM token usage. [lever_c_demoted from research: ic=1 ai=1.0]

Read on dev.to — LLM tag →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

LLM tool token overhead depends on harness, analysis finds

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Analysis of technical implementation details regarding LLM token usage. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. dev.to — LLM tag TIER_1 English(EN) · ImportStatic ·

    How much MCP token overhead you pay depends on the harness

    <p><em>Originally published on <a href="https://importstatic.com/ai/mcp-tool-definition-token-overhead" rel="noopener noreferrer">ImportStatic</a>.</em></p> <p>The issue-writing tool in GitHub's MCP server costs 807 tokens to describe to a model. The help page for <code>gh issue …

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