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verified-ai-free-tiers

Watch free-tier changes (webhook)

watch_free_tier_changes

Subscribe a webhook to verified free-tier changes. When a watched tool's allowance, wall or commercial terms change (verified daily against official vendor pages), the webhook receives a JSON payload with the changed fields, the current wording, the verification date and the source page. Watching up to 3 tools is free; a Pro license key unlocks watching everything. Registration returns a token — keep it, it is the only way to update or delete the watch.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
keyNoOptional Pro license key (bpj.…) to unlock watching all tools
hookYesHTTPS webhook URL (Slack/Discord incoming webhook, n8n, or any endpoint accepting POST)
slugsYesTool slugs to watch (max 3 on the free tier), e.g. ["kimi","suno","cursor"]. Use search_ai_tools to find slugs.

TDQS

A4.5/5.0
Behavior4/5

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

With no annotations, the description carries the full burden. It discloses triggers (allowance, wall, commercial terms changes), verification cadence, payload contents, and token requirements. It also notes that the token is the only way to update/delete a watch. It lacks details on retry behavior or failure handling, but otherwise provides strong transparency.

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 concise, front-loads the primary action, and every sentence adds essential detail—subscription purpose, webhook payload, limits, and token notice. No fluff or repetition.

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?

The tool has no output schema, but the description compensates by explaining exactly what the webhook receives (changed fields, current wording, verification date, source page). It also covers setup, limits, and token management. For a tool with only three parameters and no complex return structure, this is complete.

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?

Schema coverage is 100%, so the baseline is 3. The description adds meaningful context: it explains 'key' as a Pro license that unlocks all tools, and 'slugs' with a free-tier maximum of 3. The 'hook' parameter is partly explained by 'webhook URL' in the schema, and the description reiterates HTTP POST. This extra guidance elevates the score above baseline.

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 states 'Subscribe a webhook to verified free-tier changes,' using a specific verb and resource. It clearly distinguishes from the sibling 'get_free_tier_changes' by emphasizing subscription and webhook delivery rather than an on-demand fetch.

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 clear context for when to use the tool: when continuous monitoring of free-tier changes is needed, with daily verification. It also states usage limits (max 3 tools free, Pro license unlocks everything) and the importance of keeping the token for updates/deletions. However, it does not explicitly mention alternatives or when not to use it, so it misses the top bar.

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