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The Carbonfootprint MCP server costs 672 tokens before the first call.

Connect Carbonfootprint and its 5 tool definitions are loaded into the model's context on every request — 0.3% of a 200k window spent before your agent does anything.

QUICK ANSWER The Carbonfootprint MCP server's tool definitions consume 672 tokens — below the median MCP server (1,905 tokens). A scoped grant exposing only the tools you use cuts that roughly in proportion.

MEASURED FROM SCHEMAS 5 tools · 672 tokens · 0.3% of 200k · 0.1% of 1M Method →

What that buys before your agent starts working.

Tool definitions are overhead: they occupy context on every request and compete with your code, documents and conversation history for the same window.

200K WINDOW 0.3%
1M WINDOW 0.1%

Corpus context: Carbonfootprint ranks #2561 of 3,213 measured MCP servers by definition cost. The median is 1,905 tokens, p90 is 7,952, and the heaviest (Fusionauth) is 183,337 — 92% of a 200k window on its own.

Where the 672 tokens go.

Each row is one tool definition as a tools/list entry — name, description and input schema — counted with o200k_base. Average: 134 tokens per tool.

ToolCategoryTokens% of server
discover_available_lca_tools Read 182 27.1%
set_lca_session_defaults Write 177 26.3%
execute_lca_tool Execute 174 25.9%
get_account_and_capabilities Read 78 11.6%
get_lca_session_defaults Read 61 9.1%

Most agents use a handful of these tools. They pay for all 5.

A PolicyLayer grant exposes only the tools you allow — ungranted definitions are filtered out of the tool list, so they never enter the context window. Estimates below assume typical-weight tools (134 tokens each).

Grant scopeDefinition costReduction
All 5 tools (no gateway) 672 tokens
3 granted tools ~403 tokens −40%

Carbonfootprint token-cost questions.

How many tokens does the Carbonfootprint MCP server use?+

Its 5 tool definitions total 672 tokens — 0.3% of a 200k context window — measured with tiktoken o200k_base over the serialised tools/list payload. Exact counts vary slightly by client and model.

Why does Carbonfootprint consume tokens before I send a message?+

MCP clients load every connected server's tool definitions — name, description, and input schema — into the model's context so it knows what it can call. That payload is charged against your context window on every request, whether or not a tool is used.

How do I reduce Carbonfootprint's token usage?+

Expose fewer tools. A PolicyLayer grant scopes Carbonfootprint to only the tools you allow — ungranted definitions are filtered out of the tool list, so they never enter the context window. A grant of 3 typical tools costs roughly 403 tokens, a 40% reduction.

Does deferred tool loading fix this?+

Partially, in some clients. Claude Code defers MCP tool schemas behind a tool-search step by default, and VS Code has experimental grouping — but you still pay tokens per search and reload, and Cursor, Windsurf and Gemini CLI load definitions upfront. Reducing the exposed tool set cuts the cost in every client.

How these numbers were measured.

01
Serialisation

Each tool is serialised as a tools/list entry — name, description, input schema — from the schemas in the PolicyLayer scan database. Clients differ slightly in framing, so treat counts as close estimates.

02
Tokeniser

tiktoken o200k_base (GPT-4o/o-series). Anthropic's current tokeniser isn't published, so Claude's exact counts will differ; for English text and JSON schemas the totals are close enough to treat these as estimates.

03
Deferred loading

Some clients now defer schema loading (Claude Code's tool search; VS Code experimental grouping). You still pay per search and reload — and Cursor, Windsurf and Gemini CLI load everything upfront.

Computed 07-06-2026 from the PolicyLayer scan database over all 5 catalogued Carbonfootprint tools. Counts refresh with every site build.

Expose only the tools you use — the rest never enter your context.

A PolicyLayer grant scopes Carbonfootprint to the tools you actually allow. Ungranted definitions never load, and every call that does run is checked against policy first.

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4,600+ MCP servers and 31,000+ tools scanned and risk-classified.

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