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The Mcp Microsoft Todo MCP server costs 3,936 tokens before the first call.

Connect Mcp Microsoft Todo and its 28 tool definitions are loaded into the model's context on every request — 2.0% of a 200k window spent before your agent does anything.

QUICK ANSWER The Mcp Microsoft Todo MCP server's tool definitions consume 3,936 tokens — 2.1× the median MCP server (1,905 tokens). A scoped grant exposing only the tools you use cuts that roughly in proportion.

MEASURED FROM SCHEMAS 28 tools · 3,936 tokens · 2.0% of 200k · 0.4% 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 2.0%
1M WINDOW 0.4%

Corpus context: Mcp Microsoft Todo ranks #1158 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 3,936 tokens go.

Each row is one tool definition as a tools/list entry — name, description and input schema — counted with o200k_base. Average: 141 tokens per tool.

ToolCategoryTokens% of server
batch_create_tasks Write 449 11.4%
update_task Write 425 10.8%
create_task Write 390 9.9%
set_extension Write 159 4.0%
bulk_update_categories Write 157 4.0%
list_all_tasks Read 152 3.9%
list_tasks Read 151 3.8%
move_task Write 140 3.6%
list_linked_resources Read 137 3.5%
list_checklist_items Read 132 3.4%
list_extensions Read 132 3.4%
create_linked_resource Write 118 3.0%
batch_complete_tasks Write 115 2.9%
batch_delete_tasks Destructive 113 2.9%
list_task_lists Read 112 2.8%
update_checklist_item Write 111 2.8%
list_tasks_by_category Read 103 2.6%
create_checklist_item Write 103 2.6%
search_tasks Read 95 2.4%
export_tasks_ics Write 92 2.3%
summarize_today Read 82 2.1%
list_overdue_tasks Read 81 2.1%
get_task Read 78 2.0%
complete_task Write 78 2.0%
delete_linked_resource Destructive 63 1.6%
delete_extension Destructive 61 1.5%
delete_checklist_item Destructive 60 1.5%
delete_task Destructive 47 1.2%

Most agents use a handful of these tools. They pay for all 28.

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 (141 tokens each).

Grant scopeDefinition costReduction
All 28 tools (no gateway) 3,936 tokens
3 granted tools ~422 tokens −89%
5 granted tools ~703 tokens −82%
10 granted tools ~1,406 tokens −64%

Mcp Microsoft Todo token-cost questions.

How many tokens does the Mcp Microsoft Todo MCP server use?+

Its 28 tool definitions total 3,936 tokens — 2.0% 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 Mcp Microsoft Todo 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 Mcp Microsoft Todo's token usage?+

Expose fewer tools. A PolicyLayer grant scopes Mcp Microsoft Todo 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 422 tokens, a 89% 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 28 catalogued Mcp Microsoft Todo tools. Counts refresh with every site build.

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

A PolicyLayer grant scopes Mcp Microsoft Todo 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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