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The Firestore Server MCP server costs 2,438 tokens before the first call.

Connect Firestore Server and its 23 tool definitions are loaded into the model's context on every request — 1.2% of a 200k window spent before your agent does anything.

QUICK ANSWER The Firestore Server MCP server's tool definitions consume 2,438 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 23 tools · 2,438 tokens · 1.2% 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 1.2%
1M WINDOW 0.2%

Corpus context: Firestore Server ranks #1439 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 2,438 tokens go.

Each row is one tool definition as a tools/list entry — name, description and input schema — counted with o200k_base. Average: 106 tokens per tool.

ToolCategoryTokens% of server
firestore-field-value-batch Execute 335 13.7%
firestore-transaction Execute 249 10.2%
firestore-query-collection-by-path Read 241 9.9%
firestore-query-collection Read 222 9.1%
firestore-batch-write Write 204 8.4%
firestore-create-document-by-path Write 105 4.3%
firestore-create-document Write 82 3.4%
firestore-update-document-by-path Write 82 3.4%
firestore-update-document Write 80 3.3%
firestore-increment-field Read 78 3.2%
firestore-array-union Write 74 3.0%
firestore-array-remove Destructive 71 2.9%
firestore-server-timestamp Write 68 2.8%
firestore-delete-document-by-path Destructive 63 2.6%
firestore-delete-field Destructive 63 2.6%
firestore-get-collection-by-path Read 63 2.6%
firestore-get-document-by-path Read 63 2.6%
firestore-delete-document Destructive 60 2.5%
firestore-get-document Read 58 2.4%
firestore-list-subcollections Read 53 2.2%
firestore-batch-read Read 52 2.1%
firestore-get-collection Read 44 1.8%
firestore-list-collections Read 28 1.1%

Most agents use a handful of these tools. They pay for all 23.

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 (106 tokens each).

Grant scopeDefinition costReduction
All 23 tools (no gateway) 2,438 tokens
3 granted tools ~318 tokens −87%
5 granted tools ~530 tokens −78%
10 granted tools ~1,060 tokens −57%

Firestore Server token-cost questions.

How many tokens does the Firestore Server MCP server use?+

Its 23 tool definitions total 2,438 tokens — 1.2% 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 Firestore Server 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 Firestore Server's token usage?+

Expose fewer tools. A PolicyLayer grant scopes Firestore Server 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 318 tokens, a 87% 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 23 catalogued Firestore Server tools. Counts refresh with every site build.

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

A PolicyLayer grant scopes Firestore Server 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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