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MarginGlow AI Signal

Purchase a MarginGlow AI Signal

purchase_marginglow_signal

Creates a secure Stripe payment link for one MarginGlow AI Signal costing EUR 2, inclusive of applicable tax. Use this when analyse_small_business_opportunities reports that no Signal credits remain. A payment-capable agent may follow the payment instructions automatically when supported. Otherwise, give the secure checkout URL to the user. After payment, retry the original analysis request with the same agent API key and Idempotency-Key.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

TDQS

A4.5/5.0
Behavior4/5

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

The description discloses that the tool creates a payment link rather than directly granting access, includes cost and tax, and explains the automated versus manual checkout URL hand-off. It also describes the post-payment retry with the same API key and Idempotency-Key. The annotations already signal non-read, non-idempotent behavior, and the description adds practical flow details without contradiction.

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?

Four sentences, each with a distinct purpose: the action, the trigger, the execution path, and the post-payment step. There is no redundancy and the core verb and price are front-loaded.

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?

For a zero-parameter tool with annotations and sibling context, the description covers the trigger, cost, tax, checkout URL hand-off, automation capability, and what to do after payment. No output schema exists, but the description gives enough actionable information for an agent to invoke the tool correctly.

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 input schema has zero parameters, so there are no parameter meanings for the description to add; baseline for zero-parameter tools is 4. The description usefully references the agent API key and Idempotency-Key as context for the retry flow, though these are not schema parameters.

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 opens with a specific action and object: it creates a Stripe payment link for one MarginGlow AI Signal at EUR 2. This clearly distinguishes it from the sibling analysis and access-check tools.

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?

It explicitly says to use this tool when analyse_small_business_opportunities reports no Signal credits remain, and it gives post-payment retry instructions. It does not explicitly state when not to use it, but the trigger condition implies that if credits remain, this purchase is not needed.

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 has a clearly distinct purpose: running an analysis, checking credit access, and purchasing a signal. There is no functional overlap between consuming, inspecting, or buying credits.

Naming Consistency5/5

All tool names follow a consistent verb_object pattern in lowercase snake_case: analyse_..., check_..., purchase_.... The only variation is the brand name rendering, which is acceptable for a proper noun.

Tool Count5/5

Three tools is exactly the right scope for a niche paid analysis service: run the analysis, check access, and buy access. Each tool earns its place with no redundant or missing surface.

Completeness5/5

The tool set covers the full user lifecycle for paid signal use: check remaining credits, purchase when needed, and run the analysis. There are no dead ends, since the payment tool explicitly unblocks the analysis tool.

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