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faostat_get_dimensions

Retrieve the available dimensions (filters) for any FAOSTAT domain, such as area, item, element, and year, to understand the data structure before querying.

Instructions

Get the structure of a domain — what dimensions (filters) are available, such as area (country), item (commodity), element (measure), and year.

Args: domain_code: Domain code (e.g. 'QCL' for Crops and Livestock, 'TM' for Trade, 'FS' for Food Security) lang: Language code (default: 'en')

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
domain_codeYes
langNoen

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

No annotations are provided, and the description does not disclose behavioral traits such as authentication requirements, rate limits, or whether the operation is read-only. The agent must infer safety from the tool name alone.

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 concise: a single sentence for purpose followed by parameter details in a clear, front-loaded structure. Every sentence adds value without redundancy.

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 tool's simplicity (2 parameters, no nested objects) and the presence of an output schema that likely documents return structure, the description is nearly complete. It omits behavioral context like error handling or performance, but these are not critical for a retrieval 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?

Schema coverage is 0%, but the description compensates by explaining domain_code with concrete examples ('QCL', 'TM', 'FS') and specifying the default for lang. This adds meaning beyond the bare schema types.

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 clearly states the tool retrieves domain structure/dimensions with examples like area, item, element. It distinguishes from siblings by specifying the unique function of getting dimensions rather than codes or data.

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 explains when to use the tool (to see available dimensions for a domain) and provides parameter examples. However, it does not explicitly contrast with sibling tools like faostat_get_codes or state conditions to avoid using it.

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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