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The IfrCoworker MCP server costs 12,340 tokens before the first call.

Connect IfrCoworker and its 19 tool definitions are loaded into the model's context on every request — 6.2% of a 200k window spent before your agent does anything.

QUICK ANSWER The IfrCoworker MCP server's tool definitions consume 12,340 tokens — 6.5× the median MCP server (1,905 tokens). A scoped grant exposing only the tools you use cuts that roughly in proportion.

MEASURED FROM SCHEMAS 19 tools · 12,340 tokens · 6.2% of 200k · 1.2% 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 6.2%
1M WINDOW 1.2%

Corpus context: IfrCoworker ranks #126 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 12,340 tokens go.

Each row is one tool definition as a tools/list entry — name, description and input schema — counted with o200k_base. Average: 649 tokens per tool.

ToolCategoryTokens% of server
ifr_period_end_batch Destructive 2,602 21.1%
ifr_schema Execute 1,770 14.3%
ifr_calculate Execute 1,437 11.6%
ifr_ecl_provision_matrix Read 560 4.5%
ifr_flag_result Execute 557 4.5%
ifr_ingest_document Execute 552 4.5%
ifr_amortisation_schedule Write 520 4.2%
ifr_period_checklist Execute 517 4.2%
ifr_cgu_impairment Execute 494 4.0%
ifr_period_end_batch_summary Execute 487 3.9%
ifr_period_end_close Write 438 3.5%
ifr_validate Read 415 3.4%
ifr_apply_ias10 Write 349 2.8%
ifr_what_standard Read 348 2.8%
ifr_batch_validate Read 325 2.6%
ifr_generate_workpaper Write 312 2.5%
ifr_propose_mapping Execute 282 2.3%
ifr_check_quota Read 230 1.9%
ifr_explain_result Execute 145 1.2%

Most agents use a handful of these tools. They pay for all 19.

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 (649 tokens each).

Grant scopeDefinition costReduction
All 19 tools (no gateway) 12,340 tokens
3 granted tools ~1,948 tokens −84%
5 granted tools ~3,247 tokens −74%
10 granted tools ~6,495 tokens −47%

IfrCoworker token-cost questions.

How many tokens does the IfrCoworker MCP server use?+

Its 19 tool definitions total 12,340 tokens — 6.2% 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 IfrCoworker 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 IfrCoworker's token usage?+

Expose fewer tools. A PolicyLayer grant scopes IfrCoworker 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 1,948 tokens, a 84% 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 19 catalogued IfrCoworker tools. Counts refresh with every site build.

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

A PolicyLayer grant scopes IfrCoworker 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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