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The Sundr Repair Advisor MCP server costs 11,230 tokens before the first call.

Connect Sundr Repair Advisor and its 25 tool definitions are loaded into the model's context on every request — 5.6% of a 200k window spent before your agent does anything.

QUICK ANSWER The Sundr Repair Advisor MCP server's tool definitions consume 11,230 tokens — 5.9× the median MCP server (1,905 tokens). A scoped grant exposing only the tools you use cuts that roughly in proportion.

MEASURED FROM SCHEMAS 25 tools · 11,230 tokens · 5.6% of 200k · 1.1% 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 5.6%
1M WINDOW 1.1%

Corpus context: Sundr Repair Advisor ranks #149 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 11,230 tokens go.

Each row is one tool definition as a tools/list entry — name, description and input schema — counted with o200k_base. Average: 449 tokens per tool.

ToolCategoryTokens% of server
repair_decision Read 681 6.1%
is_repair_worth_it Read 680 6.1%
repair_or_replace Write 678 6.0%
fix_or_buy_new Execute 677 6.0%
should_repair Read 659 5.9%
repair_vs_new Execute 487 4.3%
repair_vs_replace Write 487 4.3%
compare_options Read 469 4.2%
eco_friendly_choice Read 431 3.8%
carbon_footprint Read 430 3.8%
ewaste_impact Read 429 3.8%
environmental_impact Read 413 3.7%
how_much_to_fix Read 404 3.6%
battery_replacement_cost Read 403 3.6%
screen_repair_cost Read 403 3.6%
repair_cost_estimate Read 386 3.4%
get_repair_statistics Read 380 3.4%
sell_my_device Read 358 3.2%
apple_trade_in Read 355 3.2%
device_worth Read 353 3.1%
ifixit_score Execute 340 3.0%
device_repairability Read 337 3.0%
can_i_fix_it Read 336 3.0%
trade_in_value Read 336 3.0%
get_device_info Read 318 2.8%

Most agents use a handful of these tools. They pay for all 25.

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 (449 tokens each).

Grant scopeDefinition costReduction
All 25 tools (no gateway) 11,230 tokens
3 granted tools ~1,348 tokens −88%
5 granted tools ~2,246 tokens −80%
10 granted tools ~4,492 tokens −60%

Sundr Repair Advisor token-cost questions.

How many tokens does the Sundr Repair Advisor MCP server use?+

Its 25 tool definitions total 11,230 tokens — 5.6% 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 Sundr Repair Advisor 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 Sundr Repair Advisor's token usage?+

Expose fewer tools. A PolicyLayer grant scopes Sundr Repair Advisor 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 1,348 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 25 catalogued Sundr Repair Advisor tools. Counts refresh with every site build.

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

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

Free to start. No card required.

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

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