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chaandannn

nable (finops-mcp)

get_cost_summary

Retrieve total spend summarized by service, account, and region. Use filters like provider, category, date range, and granularity to track costs.

Instructions

Get total spend summarized by service, account, and region.

Args: provider: Provider name (e.g. "aws", "datadog"). None = all. category: "cloud" or "saas". None = all. start_date: ISO date (YYYY-MM-DD). Defaults to 30 days ago. end_date: ISO date. Defaults to today. granularity: "DAILY" or "MONTHLY". account: Named AWS account from accounts.yaml. Uses default when omitted.

Examples: - "How much did we spend last month?" - "Give me an AWS cost summary for January" - "What did the production account spend this month?"

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
accountNo
categoryNo
end_dateNo
providerNo
start_dateNo
granularityNoMONTHLY
Behavior3/5

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

With no annotations, the description must disclose behavioral traits. It details parameters and defaults but omits information on data freshness, pagination, or whether it is purely read-only. Adequate but lacking depth.

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?

The description is well-structured, front-loaded with the main purpose, and concise with no wasted words. The parameter list and examples are efficient and necessary.

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 complexity (6 parameters, no output schema), the description covers inputs well but does not describe output format or structure. Examples provide some context, but the agent may need more detail on what is returned.

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

Parameters5/5

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

Schema description coverage is 0%, so the description bears full responsibility. It thoroughly explains all six parameters with formats, defaults, and examples, adding significant meaning beyond the schema.

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?

The description clearly states it retrieves total spend summarized by service, account, and region, with a specific verb and resource. However, it does not explicitly distinguish from siblings like get_cost_summary_all_accounts or get_total_spend_all_sources, which slightly reduces clarity.

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 provides no guidance on when to use this tool versus alternatives. Among many cost-related siblings, it fails to indicate context or exclusions, leaving the agent to guess which tool fits.

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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