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The CloudWatch Application Signals MCP Server MCP server costs 16,301 tokens before the first call.

Connect CloudWatch Application Signals MCP Server and its 20 tool definitions are loaded into the model's context on every request — 8.2% of a 200k window spent before your agent does anything.

QUICK ANSWER The CloudWatch Application Signals MCP Server MCP server's tool definitions consume 16,301 tokens — 8.6× the median MCP server (1,905 tokens). A scoped grant exposing only the tools you use cuts that roughly in proportion.

MEASURED FROM SCHEMAS 20 tools · 16,301 tokens · 8.2% of 200k · 1.6% 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 8.2%
1M WINDOW 1.6%

Corpus context: CloudWatch Application Signals MCP Server ranks #80 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 16,301 tokens go.

Each row is one tool definition as a tools/list entry — name, description and input schema — counted with o200k_base. Average: 815 tokens per tool.

ToolCategoryTokens% of server
audit_services Read 2,617 16.1%
audit_service_operations Read 2,100 12.9%
audit_slos Read 1,899 11.6%
list_change_events Read 1,423 8.7%
query_sampled_traces Read 1,034 6.3%
search_transaction_spans Read 890 5.5%
query_rum_events Read 874 5.4%
get_enablement_guide Read 832 5.1%
list_service_operations Read 649 4.0%
audit_group_health Read 626 3.8%
analyze_canary_failures Read 572 3.5%
get_slo Read 374 2.3%
query_service_metrics Read 361 2.2%
list_group_services Read 349 2.1%
get_service_detail Read 330 2.0%
get_group_dependencies Read 318 2.0%
get_group_changes Read 305 1.9%
list_slis Read 305 1.9%
list_slos Read 294 1.8%
list_canaries Read 149 0.9%

Computed over 20 of 22 catalogued tools — the remainder have no published input schema, so the true total is slightly higher.

Most agents use a handful of these tools. They pay for all 20.

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 (815 tokens each).

Grant scopeDefinition costReduction
All 20 tools (no gateway) 16,301 tokens
3 granted tools ~2,445 tokens −85%
5 granted tools ~4,075 tokens −75%
10 granted tools ~8,151 tokens −50%

CloudWatch Application Signals MCP Server token-cost questions.

How many tokens does the CloudWatch Application Signals MCP Server MCP server use?+

Its 20 tool definitions total 16,301 tokens — 8.2% 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 CloudWatch Application Signals MCP 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 CloudWatch Application Signals MCP Server's token usage?+

Expose fewer tools. A PolicyLayer grant scopes CloudWatch Application Signals MCP 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 2,445 tokens, a 85% 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 20 of 22 catalogued CloudWatch Application Signals MCP Server tools. Counts refresh with every site build.

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

A PolicyLayer grant scopes CloudWatch Application Signals MCP 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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