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timps_monetization_agent

Set up payment monetization by configuring Stripe or LemonSqueezy products, checkout flows, webhooks, and dunning emails from plain-English requests.

Instructions

Configure Stripe/LemonSqueezy products, checkout flows, webhooks, and dunning emails.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
requestNoPlain-English task or context for the agent.
languageNoPrimary programming language (default: python).python
Behavior2/5

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

With no annotations provided, the description carries the full burden. It implies configuration actions (which are likely mutating and potentially destructive), but it doesn't disclose any side effects, required permissions, or whether it makes live changes versus dry-runs. The agent lacks critical safety information.

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 a single, concise sentence that lists the key capabilities. It is front-loaded with the main verb ('Configure') and covers the essentials without fluff. It could be slightly more detailed but stays efficient.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a tool that configures payment infrastructure, the description is too sparse. It lacks any mention of the request parameter's complexity, potential outcomes, or error handling. With no output schema and no annotations, the agent has limited understanding of what to expect or how to proceed.

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 both parameters are documented in the schema. The description itself adds no parameter-level detail beyond what the schema provides, but it does clarify the overall task scope. With full schema coverage, baseline 3 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool's purpose: configuring Stripe/LemonSqueezy products, checkout flows, webhooks, and dunning emails. It's specific about the resources and actions, and while it doesn't explicitly distinguish from siblings, its domain (payment monetization) is unique among the many siblings, making it easy to identify.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides no guidance on when to use this tool versus alternatives. It doesn't mention prerequisites, typical scenarios, or exclusions. The agent would have to infer usage from the domain alone, which is insufficient for a complex configuration task.

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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