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The Justicelibre MCP server costs 9,533 tokens before the first call.

Connect Justicelibre and its 30 tool definitions are loaded into the model's context on every request — 4.8% of a 200k window spent before your agent does anything.

QUICK ANSWER The Justicelibre MCP server's tool definitions consume 9,533 tokens — 5.0× the median MCP server (1,905 tokens). A scoped grant exposing only the tools you use cuts that roughly in proportion.

MEASURED FROM SCHEMAS 30 tools · 9,533 tokens · 4.8% of 200k · 1.0% 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 4.8%
1M WINDOW 1.0%

Corpus context: Justicelibre ranks #181 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 9,533 tokens go.

Each row is one tool definition as a tools/list entry — name, description and input schema — counted with o200k_base. Average: 318 tokens per tool.

ToolCategoryTokens% of server
search_judiciaire_libre Read 683 7.2%
get_admin_decision Read 602 6.3%
search_admin Read 543 5.7%
build_source_url Execute 517 5.4%
search_decisions_citing Read 503 5.3%
search_conseil_etat Read 480 5.0%
search_cc Read 476 5.0%
search_judiciaire Read 464 4.9%
search_all Read 448 4.7%
get_decision_text Read 432 4.5%
get_law_article Read 425 4.5%
search_admin_recent Read 389 4.1%
resolve_law_number Write 338 3.5%
search_admin_recent_all_ta Read 299 3.1%
get_decision_judiciaire Read 276 2.9%
search_jorf Read 266 2.8%
search_legi Read 250 2.6%
get_decision_judiciaire_libre Read 232 2.4%
get_law_versions Read 219 2.3%
get_cc_decision Read 215 2.3%
search_kali Read 189 2.0%
get_ce_decision Read 182 1.9%
search_cjue Read 179 1.9%
search_admin_recent_all_caa Read 178 1.9%
search_cedh Read 170 1.8%
list_juridictions Read 122 1.3%
search_cnil Read 122 1.3%
about_justicelibre Read 112 1.2%
get_decision_cjue Read 112 1.2%
get_decision_cedh Read 110 1.2%

Most agents use a handful of these tools. They pay for all 30.

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 (318 tokens each).

Grant scopeDefinition costReduction
All 30 tools (no gateway) 9,533 tokens
3 granted tools ~953 tokens −90%
5 granted tools ~1,589 tokens −83%
10 granted tools ~3,178 tokens −67%

Justicelibre token-cost questions.

How many tokens does the Justicelibre MCP server use?+

Its 30 tool definitions total 9,533 tokens — 4.8% 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 Justicelibre 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 Justicelibre's token usage?+

Expose fewer tools. A PolicyLayer grant scopes Justicelibre 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 953 tokens, a 90% 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 30 catalogued Justicelibre tools. Counts refresh with every site build.

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

A PolicyLayer grant scopes Justicelibre 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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