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The Prompt To Asset MCP server costs 5,093 tokens before the first call.

Connect Prompt To Asset and its 24 tool definitions are loaded into the model's context on every request — 2.5% of a 200k window spent before your agent does anything.

QUICK ANSWER The Prompt To Asset MCP server's tool definitions consume 5,093 tokens — 2.7× the median MCP server (1,905 tokens). A scoped grant exposing only the tools you use cuts that roughly in proportion.

MEASURED FROM SCHEMAS 24 tools · 5,093 tokens · 2.5% of 200k · 0.5% 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 2.5%
1M WINDOW 0.5%

Corpus context: Prompt To Asset ranks #1022 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 5,093 tokens go.

Each row is one tool definition as a tools/list entry — name, description and input schema — counted with o200k_base. Average: 212 tokens per tool.

ToolCategoryTokens% of server
asset_save_inline_svg Write 445 8.7%
asset_init_brand Execute 347 6.8%
asset_export_bundle Write 335 6.6%
asset_doctor Execute 305 6.0%
asset_train_brand_lora Write 301 5.9%
asset_enhance_prompt Read 270 5.3%
asset_generate_app_icon Write 254 5.0%
asset_nine_slice Write 241 4.7%
asset_generate_splash_screen Write 234 4.6%
asset_sprite_sheet Write 206 4.0%
asset_generate_og_image Write 194 3.8%
asset_models_list Read 188 3.7%
asset_ingest_external Execute 183 3.6%
asset_generate_hero Write 178 3.5%
asset_generate_logo Write 173 3.4%
asset_generate_illustration Write 171 3.4%
asset_capabilities Execute 158 3.1%
asset_vectorize Execute 154 3.0%
asset_generate_favicon Write 150 2.9%
asset_validate Read 147 2.9%
asset_upscale_refine Write 138 2.7%
asset_models_inspect Read 132 2.6%
asset_remove_background Destructive 118 2.3%
asset_brand_bundle_parse Execute 71 1.4%

Most agents use a handful of these tools. They pay for all 24.

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 (212 tokens each).

Grant scopeDefinition costReduction
All 24 tools (no gateway) 5,093 tokens
3 granted tools ~637 tokens −88%
5 granted tools ~1,061 tokens −79%
10 granted tools ~2,122 tokens −58%

Prompt To Asset token-cost questions.

How many tokens does the Prompt To Asset MCP server use?+

Its 24 tool definitions total 5,093 tokens — 2.5% 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 Prompt To Asset 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 Prompt To Asset's token usage?+

Expose fewer tools. A PolicyLayer grant scopes Prompt To Asset 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 637 tokens, a 88% 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 24 catalogued Prompt To Asset tools. Counts refresh with every site build.

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

A PolicyLayer grant scopes Prompt To Asset 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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