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The ENTIA — 5 5M Verified Entities for AI Agents MCP server costs 1,506 tokens before the first call.

Connect ENTIA — 5 5M Verified Entities for AI Agents and its 14 tool definitions are loaded into the model's context on every request — 0.8% of a 200k window spent before your agent does anything.

QUICK ANSWER The ENTIA — 5 5M Verified Entities for AI Agents MCP server's tool definitions consume 1,506 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 14 tools · 1,506 tokens · 0.8% 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 0.8%
1M WINDOW 0.2%

Corpus context: ENTIA — 5 5M Verified Entities for AI Agents ranks #1803 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 1,506 tokens go.

Each row is one tool definition as a tools/list entry — name, description and input schema — counted with o200k_base. Average: 108 tokens per tool.

ToolCategoryTokens% of server
get_entia_home Read 238 15.8%
run_risk_audit Execute 175 11.6%
search_entities Read 169 11.2%
get_competitors Read 133 8.8%
entity_lookup Read 110 7.3%
get_full_dossier Read 100 6.6%
zone_profile Read 92 6.1%
borme_lookup Read 89 5.9%
verify_vat Read 89 5.9%
ai_ready_profile Read 80 5.3%
professional_lookup Read 79 5.2%
lookup_by_domain Read 67 4.4%
get_showcase Read 47 3.1%
get_platform_stats Read 38 2.5%

Most agents use a handful of these tools. They pay for all 14.

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 (108 tokens each).

Grant scopeDefinition costReduction
All 14 tools (no gateway) 1,506 tokens
3 granted tools ~323 tokens −79%
5 granted tools ~538 tokens −64%
10 granted tools ~1,076 tokens −29%

ENTIA — 5 5M Verified Entities for AI Agents token-cost questions.

How many tokens does the ENTIA — 5 5M Verified Entities for AI Agents MCP server use?+

Its 14 tool definitions total 1,506 tokens — 0.8% 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 ENTIA — 5 5M Verified Entities for AI Agents 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 ENTIA — 5 5M Verified Entities for AI Agents's token usage?+

Expose fewer tools. A PolicyLayer grant scopes ENTIA — 5 5M Verified Entities for AI Agents 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 323 tokens, a 79% 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 14 catalogued ENTIA — 5 5M Verified Entities for AI Agents tools. Counts refresh with every site build.

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

A PolicyLayer grant scopes ENTIA — 5 5M Verified Entities for AI Agents 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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