Claim the MockHero API key after Polar marks the loginless agent checkout as paid. The key is returned once.
| Name | Required | Description | Default |
|---|---|---|---|
| token | Yes | claim_token returned by create_agent_checkout. |
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations provide no safety hints (all false), so the description carries the burden. It discloses a key behavioral trait: 'The key is returned once', which indicates the operation is not idempotent and that repeated calls may not succeed. It also implies a state dependency (must be paid). This adds valuable context beyond the annotations, though it doesn't cover error behavior or permissions.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Two sentences, no filler. The first sentence states the action and prerequisite; the second adds a critical usage warning. Information is front-loaded and every word earns its place.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple one-parameter tool with an output schema (which explains return value), the description covers the claim action, the prerequisite state, and the one-time nature. It integrates well with sibling tools in the checkout workflow. No obvious gaps for an agent to misuse the tool.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100%: the only parameter 'token' is described as 'claim_token returned by create_agent_checkout.' The tool description itself adds no parameter-specific detail, but the schema already fully explains it. Baseline 3 is appropriate as the description doesn't need to compensate.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
Description clearly states the specific action ('Claim the MockHero API key') and the condition for use ('after Polar marks the loginless agent checkout as paid'). It distinguishes from siblings like create_agent_checkout (which creates) and check_agent_checkout_status (which checks status) by focusing on the final claim step.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Explicitly states when to use ('after Polar marks the loginless agent checkout as paid'), which is a clear prerequisite. Also warns that 'the key is returned once', implying it should not be called repeatedly. However, it doesn't explicitly name alternatives or say when NOT to use, but the 'after' condition provides sufficient guidance.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Each tool has a clear, distinct purpose. generate_test_data and generate_from_template could overlap, but descriptions distinguish custom/plain-English generation from pre-built templates. The payment lifecycle tools (create_agent_checkout, check_agent_checkout_status, claim_agent_api_key) are sequential and clearly scoped.
All tool names follow a consistent snake_case verb_noun pattern (e.g., create_agent_checkout, list_field_types, generate_test_data). generate_from_template uses verb_preposition_noun but remains in the same style. No mixing of conventions.
9 tools is well-scoped for a test data generation service with monetization. Each tool earns its place, covering data generation, schema discovery, and payment flow without redundancy or bloat.
The tool set covers the core generation workflows, schema construction, and the full checkout-to-key-claim lifecycle. Minor gaps exist, such as no API key management (e.g., revoke or refresh) and no template customization, but these are not critical for the primary use case.
