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symeta

aws-billing-mcp

by symeta

get_dimension_values

Identify Cost Explorer dimension values like services, regions, or linked accounts within a time range so you can apply precise filters before querying usage.

Instructions

List available values for a Cost Explorer dimension in a time period — e.g. which services, regions, usage types, or linked accounts actually incurred cost. Use this to discover exact value strings before filtering in get_cost_and_usage.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
endYes
startYesDate in YYYY-MM-DD format
dimensionYesDimension to enumerate
search_stringNoOptional substring to filter values (e.g. 'Bedrock')
Behavior3/5

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

With no annotations, the description carries the behavioral disclosure burden. It adds useful context by noting that values are those that 'actually incurred cost' in the time period, which is non-obvious. However, it does not disclose output format, pagination, or other runtime behavior, leaving some gaps.

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 two sentences with no filler. The core purpose is front-loaded, and the usage guidance is compactly appended. Every sentence earns its place.

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?

For a list-style tool with no output schema and no annotations, the description covers the essential context: what it lists, the time-period constraint, and how it fits into a workflow. It could mention return format or pagination, but the description is sufficient for correct invocation in most cases.

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

Parameters3/5

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

Schema description coverage is 75%, so the schema already documents most parameters. The description adds examples of dimension values (services, regions, usage types) and implies the search_string use case, but does not substantially enrich parameter meaning beyond the 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 uses a specific verb ('List available values') and identifies the resource ('Cost Explorer dimension in a time period'), with concrete examples of dimensions. It also distinguishes itself from the sibling get_cost_and_usage by framing itself as a prerequisite discovery step.

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

Usage Guidelines4/5

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

The description explicitly states when to use the tool: 'Use this to discover exact value strings before filtering in get_cost_and_usage.' This provides clear context and a workflow connection, though it does not enumerate when not to use it or mention other sibling alternatives.

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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