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List supported file formats

list_formats

Returns the file formats FileConvert can read and write, along with the format-type categories (image, video, document, audio, …). Use this first to discover valid 'format_type', 'source_format' and 'target_format' identifiers before calling convert_file. Each format includes its numeric id, name, file extension and description. Optionally pass 'format_type' to filter to a single category. Works without an API key.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
format_typeNoOptional format-type name to filter by (e.g. 'image', 'video', 'document'). When omitted, all formats across all types are returned.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.7/5.0
Behavior4/5

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

With no annotations, the description carries the burden and does meaningful work: it discloses the returned fields (numeric id, name, extension, description), the optional filter behavior, and that no API key is required. It does not cover pagination, result size, or error behavior, so it stops short of full disclosure.

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?

Front-loaded with what is returned, then the routing advice, then the filter, then the auth note. Four short sentences, none of which is filler or duplicative of the schema.

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?

There is no output schema, so the description must describe the return payload, and it does so concretely (id, name, extension, description, categories). Combined with the filter semantics and the no-API-key note, an agent has everything needed to call and consume it.

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 single parameter is already 100% documented in the schema, so the baseline is 3. The description adds the omitted-case semantics ('When omitted, all formats across all types are returned') and gives example categories, which goes modestly beyond the schema text.

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?

Specific verb+resource (returns file formats FileConvert can read and write) plus the accompanying format-type categories. It also positions itself against the sibling convert_file, which consumes the identifiers it returns, so an agent can distinguish it from get_balance, get_job_status, etc.

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 'Use this first to discover valid format_type, source_format and target_format identifiers before calling convert_file', naming the alternative and the sequencing condition. That is direct when-to-use guidance tied to a concrete sibling.

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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