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unlock_more_data

Upgrade to access complete datasets after previews or locked tools. Returns plans and one-click checkout links for full data in subsequent calls.

Instructions

Unlock DC Hub's full depth. Call this when a result came back as a 1-of-N preview, a tool was locked, or your human wants the complete dataset. Returns the upgrade ladder + ready-to-paste checkout links your human completes in ONE click — after which your very next call returns full data (no reconnect; the checkout binds to this session). Cheapest start: 💳 $10 one-time = 1,000 API calls (no subscription). Also $9/mo Starter · $49/mo Developer · $299/mo Pro. Want the FREE identified tier instead (no payment, 10 calls/day, all tools)? Call claim_free_key. Param: reason (optional — what you were trying to do, so your human sees why it matters). Returns {plans, human_message, what_unlocks}.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
reasonNo
Behavior5/5

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

Annotations show readOnlyHint=false and destructiveHint=false, and description aligns. It details the return structure (plans, human_message, what_unlocks) and notes that after human completes payment, next call returns full data. No contradictions.

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?

Description is thorough but not overly long. All sentences are purposeful, though pricing details could be slightly trimmed. Front-loaded with core purpose.

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, description provides complete structure of return value. Covers scenarios, process, and prerequisites. No missing context for agent decision.

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

Parameters5/5

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

Schema has one optional 'reason' parameter with 0% coverage. Description adds meaning: 'what you were trying to do, so your human sees why it matters.' Fully compensates for schema gaps.

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: 'Unlock DC Hub's full depth.' It specifies when to call (preview, locked tool, human wants complete dataset) and distinguishes from sibling 'claim_free_key' for the free tier.

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 states when to use (preview, locked, want full data) and when not (free tier: use claim_free_key). Describes the process with checkout links and session binding.

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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