verified-ai-free-tiers

build_free_workflow

Get a complete step-by-step recipe for doing a task entirely on free tiers - which verified free tool to use at each step and what to do with it, in the order you'd actually work. Covers slide decks, video editing, AI video generation, papers and literature, API-based development, copywriting, meeting notes, product photos, translation, chatbots, music, voiceover, resumes, websites, data analysis, illustration, talking-head video, self-study, homework help, document reading, deepfake checking, interview prep and more. Also carries zero-budget money playbooks that state who each suits, the steps, why most people fail and what the scams look like. Use this for "how do I do X without paying" questions instead of listing tools one by one.

Input Schema

TableJSON Schema

Name	Required	Description
`kind`	No	recipe = do a task for free; playbook = earn money with AI at zero cost; default both
`lang`	No	Data language, default en
`task`	No	What the user wants to do, e.g. "make a presentation", "edit video", "write a paper"

TDQS

A3.9/5.0

Behavior3/5

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

With no annotations, the description carries the burden of behavioral disclosure. It adds useful context about the output being a step-by-step recipe, the use of verified free tools, and the inclusion of money playbooks. However, it doesn't explain how results are returned, limitations, or handling of out-of-scope topics, so transparency is moderate.

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 front-loaded with the main purpose and then provides a comprehensive list of covered tasks and the playbook addition. While the list is long, it is within a two-sentence structure and each part earns its place, making it appropriately sized for the tool's broad scope.

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 no output schema, the description does a good job explaining what the user gets (a complete step-by-step recipe) and the order of operation. It also covers a wide range of task categories and mentions 'and more', giving an agent enough context to decide when to invoke it. It falls short of a 5 by not specifying output structure or handling of unsupported tasks.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so the baseline is 3. The description doesn't add additional meaning to the parameters (kind, lang, task); it only indirectly echoes the recipe/playbook distinction already present in the kind parameter's enum description. No extra parameter semantics are provided.

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's purpose: to provide a complete step-by-step recipe for doing a task on free tiers. It explicitly distinguishes itself from sibling tools that list tools one by one by emphasizing the ordered workflow, making it a specific and differentiated definition.

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 provides explicit guidance on when to use the tool: 'Use this for "how do I do X without paying" questions instead of listing tools one by one.' This contrasts with sibling tools like find_free_alternatives or search_ai_tools, but doesn't explicitly name them or give exclusions, so it's slightly short of a 5.

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

A4.4/5.0

Disambiguation5/5

Each tool targets a clearly distinct task: querying limits, checking commercial use, fact-checking claims, comparing categories, searching the directory, auditing stacks, building workflows, and monitoring changes. Even the two change-related tools are differentiated by one being a query and the other a subscription.

Naming Consistency5/5

All tool names follow a consistent lowercase snake_case verb_noun pattern (audit_, build_, check_, compare_, explain_, find_, get_, search_, watch_). Repeated verbs like check_ and get_ are paired with distinct objects, making the pattern predictable and easy to scan.

Tool Count5/5

At 14 tools, the set is well-scoped for the breadth of the domain (verifying free tiers, checking commercial use, tracking changes, building workflows, and China-specific rules). Each tool earns its place without redundancy, fitting comfortably within the ideal range.

Completeness5/5

The surface covers the full lifecycle: querying a single tool's limit, comparing across categories, searching the directory, fact-checking claims, explaining missing data, finding alternatives, auditing a stack, calculating quota fit, and both reading and subscribing to changes. No obvious dead ends or missing operations for the stated purpose.

Resources

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