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The Report Needs MCP server costs 733 tokens before the first call.

Connect Report Needs and its 7 tool definitions are loaded into the model's context on every request — 0.4% of a 200k window spent before your agent does anything.

QUICK ANSWER The Report Needs MCP server's tool definitions consume 733 tokens — below the median MCP server (1,905 tokens). A scoped grant exposing only the tools you use cuts that roughly in proportion.

MEASURED FROM SCHEMAS 7 tools · 733 tokens · 0.4% of 200k · 0.1% 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 0.4%
1M WINDOW 0.1%

Corpus context: Report Needs ranks #2485 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 733 tokens go.

Each row is one tool definition as a tools/list entry — name, description and input schema — counted with o200k_base. Average: 105 tokens per tool.

ToolCategoryTokens% of server
report_need Read 274 37.4%
list_needs Read 123 16.8%
vote_need Write 109 14.9%
comment_need Write 107 14.6%
get_need Read 55 7.5%
get_stats Read 37 5.0%
get_categories Read 28 3.8%

Most agents use a handful of these tools. They pay for all 7.

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 (105 tokens each).

Grant scopeDefinition costReduction
All 7 tools (no gateway) 733 tokens
3 granted tools ~314 tokens −57%
5 granted tools ~524 tokens −29%

Report Needs token-cost questions.

How many tokens does the Report Needs MCP server use?+

Its 7 tool definitions total 733 tokens — 0.4% 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 Report Needs 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 Report Needs's token usage?+

Expose fewer tools. A PolicyLayer grant scopes Report Needs 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 314 tokens, a 57% 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 7 catalogued Report Needs tools. Counts refresh with every site build.

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

A PolicyLayer grant scopes Report Needs 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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