Home / Token cost / RTK Motion — Motion Capture, Biomechanics, and Threat Intelligence

The RTK Motion — Motion Capture, Biomechanics, and Threat Intelligence MCP server costs 2,264 tokens before the first call.

Connect RTK Motion — Motion Capture, Biomechanics, and Threat Intelligence and its 14 tool definitions are loaded into the model's context on every request — 1.1% of a 200k window spent before your agent does anything.

QUICK ANSWER The RTK Motion — Motion Capture, Biomechanics, and Threat Intelligence MCP server's tool definitions consume 2,264 tokens — around the median MCP server (1,905 tokens). A scoped grant exposing only the tools you use cuts that roughly in proportion.

MEASURED FROM SCHEMAS 14 tools · 2,264 tokens · 1.1% of 200k · 0.2% 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 1.1%
1M WINDOW 0.2%

Corpus context: RTK Motion — Motion Capture, Biomechanics, and Threat Intelligence ranks #1490 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 2,264 tokens go.

Each row is one tool definition as a tools/list entry — name, description and input schema — counted with o200k_base. Average: 162 tokens per tool.

ToolCategoryTokens% of server
get_robotarget Read 234 10.3%
get_threat_summary Read 230 10.2%
get_bvh Read 193 8.5%
get_rehab_report Read 189 8.3%
search_catalog Read 181 8.0%
get_video_url Read 168 7.4%
get_rehab_summary Read 154 6.8%
get_mocap_sample Read 151 6.7%
get_threat_sample Read 142 6.3%
get_rehab_sample Read 137 6.1%
browse_catalog Read 129 5.7%
get_threat_profile Read 123 5.4%
get_calibration Read 121 5.3%
get_rehab_profile Read 112 4.9%

Most agents use a handful of these tools. They pay for all 14.

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 (162 tokens each).

Grant scopeDefinition costReduction
All 14 tools (no gateway) 2,264 tokens
3 granted tools ~485 tokens −79%
5 granted tools ~809 tokens −64%
10 granted tools ~1,617 tokens −29%

RTK Motion — Motion Capture, Biomechanics, and Threat Intelligence token-cost questions.

How many tokens does the RTK Motion — Motion Capture, Biomechanics, and Threat Intelligence MCP server use?+

Its 14 tool definitions total 2,264 tokens — 1.1% 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 RTK Motion — Motion Capture, Biomechanics, and Threat Intelligence 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 RTK Motion — Motion Capture, Biomechanics, and Threat Intelligence's token usage?+

Expose fewer tools. A PolicyLayer grant scopes RTK Motion — Motion Capture, Biomechanics, and Threat Intelligence 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 485 tokens, a 79% 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 14 catalogued RTK Motion — Motion Capture, Biomechanics, and Threat Intelligence tools. Counts refresh with every site build.

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

A PolicyLayer grant scopes RTK Motion — Motion Capture, Biomechanics, and Threat Intelligence 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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