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get_savings_summary

Retrieve a 30-day cost and savings summary for an Ocean cluster, including total spend, spot savings, and cost breakdown. Provide the cluster ID and optionally the account and cloud provider.

Instructions

Get a 30-day cost/savings summary for an Ocean cluster. Shows total spend, spot savings, and cost breakdown.

Args: cluster_id: The Ocean cluster ID (e.g. o-abc12345) account_id: Optional account ID to query. Defaults to SPOTINST_ACCOUNT_ID env var. cloud: Cloud provider: aws or azure (default: aws)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
cluster_idYes
account_idNo
cloudNoaws

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

No annotations are provided, so the description must bear the burden. It reveals that the summary covers a 30-day period, which is helpful context. However, it does not disclose whether the operation is read-only, potential side effects, or authentication requirements. For a 'get' tool, this is acceptable but not thorough.

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

Conciseness4/5

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

The description is concise and well-structured, using a docstring-like format with clear headings. No unnecessary information is included, though it could be slightly more succinct.

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?

Given the presence of an output schema, return values are covered. The description explains the key parameters effectively. It could benefit from mentioning the exact time range or data format, but is largely complete for a summary tool.

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?

With 0% schema description coverage, the description adds substantial meaning: it provides an example for cluster_id, explains the account_id defaults to an environment variable, and lists cloud provider options with defaults. This goes beyond the raw schema.

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

Purpose5/5

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

The description explicitly states it retrieves a 30-day cost/savings summary for an Ocean cluster, listing total spend, spot savings, and cost breakdown. It uses specific language and distinguishes from siblings like get_cluster_costs and get_cost_trending.

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

Usage Guidelines3/5

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

The description does not provide explicit guidance on when to use this tool versus alternatives. While the purpose is clear, there is no mention of exclusions or when-not to use it, leaving room for ambiguity among the many sibling tools.

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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