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The Pathrule MCP server costs 6,781 tokens before the first call.

Connect Pathrule and its 30 tool definitions are loaded into the model's context on every request — 3.4% of a 200k window spent before your agent does anything.

QUICK ANSWER The Pathrule MCP server's tool definitions consume 6,781 tokens — 3.6× the median MCP server (1,905 tokens). A scoped grant exposing only the tools you use cuts that roughly in proportion.

MEASURED FROM SCHEMAS 30 tools · 6,781 tokens · 3.4% of 200k · 0.7% 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 3.4%
1M WINDOW 0.7%

Corpus context: Pathrule ranks #913 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 6,781 tokens go.

Each row is one tool definition as a tools/list entry — name, description and input schema — counted with o200k_base. Average: 226 tokens per tool.

ToolCategoryTokens% of server
pathrule_take_snapshot Read 827 12.2%
pathrule_update_skill Write 584 8.6%
pathrule_write_skill Write 379 5.6%
pathrule_update_rule Write 340 5.0%
pathrule_update_memory Write 326 4.8%
pathrule_write_rule Write 326 4.8%
pathrule_create_workspace Write 308 4.5%
pathrule_log_activity Read 290 4.3%
pathrule_setup Write 265 3.9%
pathrule_write_memory Write 262 3.9%
pathrule_resolve_refresh Write 242 3.6%
pathrule_get_context Read 236 3.5%
pathrule_delete_memory Destructive 174 2.6%
pathrule_delete_rule Destructive 169 2.5%
pathrule_delete_skill Destructive 169 2.5%
pathrule_list_snapshots Read 164 2.4%
pathrule_get_local_runtime_upgrade Read 152 2.2%
pathrule_list_pending_refreshes Read 149 2.2%
pathrule_read_rule Read 141 2.1%
pathrule_goto Read 139 2.0%
pathrule_list_memories Read 137 2.0%
pathrule_read_skill Read 136 2.0%
pathrule_read_snapshot Read 132 1.9%
pathrule_read_memory Read 131 1.9%
pathrule_get_refresh_brief Read 129 1.9%
pathrule_get_node Read 115 1.7%
pathrule_ping Read 98 1.4%
pathrule_list_workspaces Read 92 1.4%
pathrule_list_organizations Read 89 1.3%
pathrule_get_tree Read 80 1.2%

Most agents use a handful of these tools. They pay for all 30.

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 (226 tokens each).

Grant scopeDefinition costReduction
All 30 tools (no gateway) 6,781 tokens
3 granted tools ~678 tokens −90%
5 granted tools ~1,130 tokens −83%
10 granted tools ~2,260 tokens −67%

Pathrule token-cost questions.

How many tokens does the Pathrule MCP server use?+

Its 30 tool definitions total 6,781 tokens — 3.4% 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 Pathrule 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 Pathrule's token usage?+

Expose fewer tools. A PolicyLayer grant scopes Pathrule 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 678 tokens, a 90% 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 30 catalogued Pathrule tools. Counts refresh with every site build.

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

A PolicyLayer grant scopes Pathrule 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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