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ffpipe — video conversion, probe & frames

Check your credit balance (free)

get_balance
Read-onlyIdempotent

Free. Reports the credit balance of the account this client is connected to, plus what one credit is worth, what each operation costs in credits, the monthly free allowance and whether a card is on file to unlock it. Takes no input: it reads the account behind the credential your client already connected with. If you have a connected account, paid tools are funded from this balance and never present a payment challenge - so call this to find out how much work you can still queue, and top up at the account page named in the answer. Anonymous callers (x402 buyers, who pay per call instead) have no balance and get an unauthorized error; either way nothing here is charged.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

TDQS

A4.4/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false. The description adds value beyond these by stating it is free, takes no input, reads the account behind the credential, never presents a payment challenge, and details the error case for anonymous callers. No contradiction with annotations. The extra context about permissions and error handling is helpful.

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?

The description is well-structured, starting with the key fact 'Free' and then the core purpose. It is about 3-4 sentences long, each sentence adding distinct value (balance, cost breakdown, usage guidance, error case). It is not overly verbose, but could be slightly tighter by removing redundant phrasing like 'connected to' and 'connected with'. Still, it is efficient and clear.

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 no output schema, the description fully explains what the tool returns: credit balance, credit worth, operation costs, monthly free allowance, and whether a card is on file. It also mentions the account page name for top-ups. The error case for anonymous callers is covered. The tool has no parameters and is simple, but the description leaves no gaps for an AI agent to understand its behavior and output.

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 description cannot add parameter-level meaning. According to guidelines, baseline is 4 for 0 params. The description correctly notes 'Takes no input: it reads the account behind the credential your client already connected with.' This is sufficient and does not repeat schema information.

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 it reports the credit balance and related financial details (credit worth, operation costs, free allowance, card on file). It is a unique tool among siblings (convert_video, extract_frames, etc.) as it focuses on account balance and usage limits, not media processing. The verb 'reports' and resource 'credit balance' are specific and unambiguous.

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 advises calling this tool to find out how much work can be queued and to get the top-up link. It distinguishes between paid account holders (who have balance) and anonymous callers (who get unauthorized error). It does not explicitly name alternatives, but the context is clear and the sibling tools are unrelated (e.g., convert_video, get_job_status). The guidance is practical and sufficient for an AI agent to decide when to use 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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TDQS

A4.6/5.0
Disambiguation4/5

Each tool targets a distinct capability: convert_video, extract_frames, probe_media, get_job_status, get_balance, and leave_feedback are clearly separated. However, there is a minor overlap potential between convert_video and extract_frames for users wanting to get video stills, but descriptions clarify the difference well.

Naming Consistency5/5

All tool names follow a consistent verb_noun pattern (convert_video, extract_frames, get_balance, get_job_status, leave_feedback, probe_media). The verbs are descriptive and the nouns clearly indicate the resource or action, making them predictable and easy to navigate.

Tool Count5/5

With 6 tools, the set is well-scoped for a video processing service. Each tool serves a core function: two for processing (convert, extract), one for analysis (probe), one for status tracking, one for account management, and one for feedback. No tool is superfluous, and the count feels proportional to the domain.

Completeness4/5

The toolset covers essential video operations: conversion, frame extraction, media probing, with robust status tracking and account management. Obvious gaps include the lack of a cancel_job tool for stopping queued jobs and no explicit download management tool beyond the 24-hour window, but the core lifecycle is well-covered.

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