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Snowflake Account Usage Summary

snowflake_account_usage_summary
Read-only

Summarize Snowflake account usage over the past 7 days, including warehouse compute credits and storage consumption, to monitor spend and capacity.

Instructions

Composite recipe: Summary of warehouse compute credits and storage consumption over the past 7 days.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed3 schema fields changedv1.2.0
    • addedInput schema / additionalProperties
      Added value: +false
    • removedInput schema / title
      Removed value: -"snowflake_account_usage_summaryArguments"
    • removedOutput schema / title
      Removed value: -"snowflake_account_usage_summaryDictOutput"
  2. First observedv0.1.0

TDQS

A3.5/5.0
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint=true, destructiveHint=false and openWorldHint=true, so the safety profile is covered. The description usefully adds that the window is fixed at the past 7 days and that this is a pre-composed aggregate rather than a raw query, but it says nothing about credit units, latency, or data freshness.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

A single front-loaded sentence with no filler. The scope constraint (7 days) appears immediately after the resources.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With an output schema present and no parameters, the description needs only to convey purpose and scope, which it does. The remaining gap is routing guidance relative to the many overlapping sibling tools.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool takes zero parameters, so there is nothing for the description to disambiguate; a 4 baseline applies. The description correctly implies a fixed 7-day window with no configurable inputs.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a clear verb (summarize) and specific resources (warehouse compute credits, storage consumption) with a bounded scope (past 7 days), which distinguishes it from query-history and load-history siblings. The 'composite recipe' framing is slightly opaque about what exactly is composed or returned, but the core purpose is legible.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description gives no when-to-use guidance and never mentions alternatives such as snowflake_get_warehouse_load_history or snowflake_profile_table, which overlap in the cost/usage domain. Usage is only inferable from the topic.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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