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List supported input formats

list_supported_formats
Read-onlyIdempotent

List the on-disk data formats (CSV, SQLite, JSON, JSONL, Parquet) that pain001 can read as input.

Instructions

List the on-disk data formats the pain001 loader can read.

Use this to tell a user which file types they may supply to
``generate_message_from_file``. This lists *data-source* formats (CSV,
SQLite, …); for the list of ISO 20022 *message* types call
``list_message_types`` instead.

Returns a list of ``{"id", "name", "extension"}`` dictionaries
covering CSV, SQLite, JSON, JSONL, and Parquet (the last requires the
``pain001[parquet]`` extra).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior5/5

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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint. Description adds return structure (list of dicts with id, name, extension) and specific formats, including a dependency note for Parquet.

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?

Well-structured and front-loaded, but slightly redundant (e.g., both title and description start with 'List'). Could be tightened.

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 zero parameters, the description fully explains purpose, usage, return format, and lists all formats. No missing context.

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?

No parameters; baseline 4 applies since schema coverage is 100% and description adds no parameter info.

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 'List the on-disk data formats the pain001 loader can read' with a specific verb and resource, and distinguishes from sibling tool list_message_types.

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 says to tell a user which file types they may supply to generate_message_from_file, and contrasts with list_message_types for ISO 20022 message types.

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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