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jmendozapuche

latam-fintech-synthetic-data

describe_latam_synth_dataset

Read-onlyIdempotent

Review the LatAm Synth dataset schema, columns, goal categories, and countries before generating data. Returns relationships and privacy policy.

Instructions

Describe the schema and calibration of the LatAm Synth dataset.

Use this tool to inspect which tables, columns, goal categories and
countries are available before generating data. It performs no generation
and takes no arguments.

Returns:
    Table columns, relationships, goal categories, available countries
    and the privacy policy of the generated data.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

Annotations already declare readOnlyHint=true and idempotentHint=true, so the safety profile is covered. The description adds behavioral context by stating 'performs no generation' and specifying the return items including the privacy policy, which goes beyond what annotations alone convey.

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 appropriately sized, with the purpose front-loaded in the first sentence, usage guidance in the second, and a structured 'Returns' block for the output. Every sentence adds value and there is no wasted text.

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

Completeness5/5

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

Given the tool has no parameters and an output schema exists, the description is complete. It clearly states what the tool does, when to use it, and what it returns, including a notable privacy policy detail. Nothing essential is missing for an agent to call it correctly.

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 has zero parameters, so the baseline is 4. The description redundantly states 'takes no arguments', but this reinforces the fact that no input is needed, which is helpful for an agent. No parameter documentation is required.

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?

States a specific verb 'Describe' and a specific resource 'schema and calibration of the LatAm Synth dataset'. It explicitly distinguishes itself from the sibling generate_latam_financial_data by saying 'It performs no generation', making the purpose immediately clear.

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

Usage Guidelines5/5

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

Explicitly tells when to use the tool: 'before generating data' to inspect available tables, columns, goal categories, and countries. It also states exclusions: 'It performs no generation' and 'takes no arguments'. This provides clear context and indirectly points to the generation sibling as the alternative.

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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