get_paywall

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It states the tool returns 'pricing, access URL, payment stats, and configuration,' which adds some context about output content. However, it doesn't cover critical aspects like error handling (e.g., what happens with an invalid ID), authentication requirements, rate limits, or whether it's a read-only operation. For a tool with zero annotation coverage, this is insufficient.

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?

The description is highly concise and well-structured, consisting of two sentences that efficiently convey the tool's purpose and return values. Every sentence earns its place: the first defines the action and input, and the second lists the output details. There is no wasted verbiage, making it easy to parse and understand.

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?

Given the tool's low complexity (single parameter, no nested objects) and high schema coverage, the description is adequate but has clear gaps. It lacks an output schema, so the description's mention of return values ('pricing, access URL, payment stats, and configuration') is helpful. However, without annotations, it misses behavioral details like error handling or auth needs, making it incomplete for optimal agent use.

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?

The input schema has 100% description coverage, with the single parameter 'paywall_id' documented as 'Paywall ID' of type integer. The description adds value by specifying that this ID is used to get details for a 'specific' paywall, reinforcing its purpose. However, it doesn't provide additional semantics beyond what the schema already covers, such as format examples or constraints, so it meets the baseline for high schema coverage.

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?

The description clearly states the tool's purpose: 'Get details for a specific x402 paywall by ID.' It specifies the verb ('Get details'), resource ('x402 paywall'), and scope ('by ID'), making it easy to understand what the tool does. However, it doesn't explicitly differentiate from sibling tools like 'list_paywalls' or 'get_paywall_payments', which would require a 5.

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?

The description provides no guidance on when to use this tool versus alternatives. It mentions retrieving details for a 'specific' paywall by ID, but doesn't clarify prerequisites (e.g., needing a valid paywall ID) or contrast it with similar tools like 'list_paywalls' (for multiple paywalls) or 'get_paywall_payments' (for payment data). This lack of explicit usage context leaves gaps for an AI agent.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.