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The Parliament Poland MCP server costs 2,335 tokens before the first call.

Connect Parliament Poland and its 19 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 Parliament Poland MCP server's tool definitions consume 2,335 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 19 tools · 2,335 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: Parliament Poland ranks #1469 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 2,335 tokens go.

Each row is one tool definition as a tools/list entry — name, description and input schema — counted with o200k_base. Average: 123 tokens per tool.

ToolCategoryTokens% of server
Get-a-list-of-interpellations-for-a-given-term Read 268 11.5%
Get-a-list-of-written-questions-for-a-given-term Read 234 10.0%
Get-a-list-of-votings-for-a-given-term Read 141 6.0%
Get-a-list-of-prints-for-a-given-term Read 131 5.6%
Get-a-list-of-legislative-processes-for-a-given-term Read 119 5.1%
Get-a-list-of-committees-for-a-given-term Read 117 5.0%
Get-a-list-of-video-recordings-for-a-given-term Read 117 5.0%
Get-a-list-of-proceedings-for-a-given-term Read 116 5.0%
Get-a-list-of-clubs-for-a-given-term Read 115 4.9%
Get-a-list-of-MPs-for-a-given-term Read 115 4.9%
Get-a-list-of-transcripts-for-a-given-term Read 115 4.9%
Get-detailed-information-about-a-specific-committee Read 105 4.5%
Get-detailed-information-about-a-specific-club Read 104 4.5%
Get-detailed-information-about-a-specific-interpellation Read 102 4.4%
Get-information-about-a-specific-legislative-process Read 100 4.3%
Get-detailed-information-about-a-specific-print Read 98 4.2%
Get-information-about-a-member-of-Parliament Read 96 4.1%
Get-a-list-of-Sejm-terms Read 86 3.7%
Get-a-list-of-bilateral-groups-in-the-Sejm Read 56 2.4%

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 (123 tokens each).

Grant scopeDefinition costReduction
All 19 tools (no gateway) 2,335 tokens
3 granted tools ~369 tokens −84%
5 granted tools ~614 tokens −74%
10 granted tools ~1,229 tokens −47%

Parliament Poland token-cost questions.

How many tokens does the Parliament Poland MCP server use?+

Its 19 tool definitions total 2,335 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 Parliament Poland 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 Parliament Poland's token usage?+

Expose fewer tools. A PolicyLayer grant scopes Parliament Poland 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 369 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 Parliament Poland tools. Counts refresh with every site build.

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

A PolicyLayer grant scopes Parliament Poland 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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