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The WebZum - The Hosting Layer for AI-Generated Web Content MCP server costs 6,302 tokens before the first call.

Connect WebZum - The Hosting Layer for AI-Generated Web Content and its 16 tool definitions are loaded into the model's context on every request — 3.2% of a 200k window spent before your agent does anything.

QUICK ANSWER The WebZum - The Hosting Layer for AI-Generated Web Content MCP server's tool definitions consume 6,302 tokens — 3.3× the median MCP server (1,905 tokens). A scoped grant exposing only the tools you use cuts that roughly in proportion.

MEASURED FROM SCHEMAS 16 tools · 6,302 tokens · 3.2% of 200k · 0.6% 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 3.2%
1M WINDOW 0.6%

Corpus context: WebZum - The Hosting Layer for AI-Generated Web Content ranks #945 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 6,302 tokens go.

Each row is one tool definition as a tools/list entry — name, description and input schema — counted with o200k_base. Average: 394 tokens per tool.

ToolCategoryTokens% of server
host_site Destructive 1,627 25.8%
generate_geo_page Write 752 11.9%
clone_site Write 539 8.6%
create_lead_gen_site Write 462 7.3%
update_site_html Write 440 7.0%
host_file Write 437 6.9%
regenerate_logo Write 292 4.6%
regenerate_image Write 289 4.6%
create_site Write 243 3.9%
host_zip Write 236 3.7%
regenerate_header Write 235 3.7%
regenerate_footer Write 220 3.5%
get_site_status Read 192 3.0%
search_businesses Read 163 2.6%
get_hosted_files Read 109 1.7%
list_user_sites Read 66 1.0%

Most agents use a handful of these tools. They pay for all 16.

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 (394 tokens each).

Grant scopeDefinition costReduction
All 16 tools (no gateway) 6,302 tokens
3 granted tools ~1,182 tokens −81%
5 granted tools ~1,969 tokens −69%
10 granted tools ~3,939 tokens −38%

WebZum - The Hosting Layer for AI-Generated Web Content token-cost questions.

How many tokens does the WebZum - The Hosting Layer for AI-Generated Web Content MCP server use?+

Its 16 tool definitions total 6,302 tokens — 3.2% 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 WebZum - The Hosting Layer for AI-Generated Web Content 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 WebZum - The Hosting Layer for AI-Generated Web Content's token usage?+

Expose fewer tools. A PolicyLayer grant scopes WebZum - The Hosting Layer for AI-Generated Web Content 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 1,182 tokens, a 81% 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 16 catalogued WebZum - The Hosting Layer for AI-Generated Web Content tools. Counts refresh with every site build.

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

A PolicyLayer grant scopes WebZum - The Hosting Layer for AI-Generated Web Content 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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