Start the JidoSeal certification purchase (returns a Stripe Checkout link)

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

The description adds substantial behavioral detail beyond the annotations. It clarifies that the tool does not take a payment (Stripe hosts checkout), nothing is charged unless the customer completes it, and it enumerates exactly what data is sent (company, name, email, tier, score, Merkle root, local scan id, Bronze price) and what is not sent (file contents, names, hashes, paths). This goes well beyond the annotations and provides crucial safety/privacy context.

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 somewhat long, but every sentence carries important safety, privacy, or usage information. It is front-loaded with the primary purpose and then follows with essential caveats. The length is justified given the monetary and privacy implications, but it could be slightly tightened without losing value.

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 purchase-initiation tool with no output schema, the description is remarkably complete. It states what is returned (checkout URL), explains side effects (network contact, no payment taken), and covers data sent, prerequisites, and the go-ahead condition. Combined with the sibling tools and annotations, an agent has all necessary information to invoke it correctly.

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 schema description coverage is 80% (4/5 parameters described). The description adds context that the tier, score, and Merkle root are taken from a fresh local scan, not from the caller, which clarifies that the 'root' parameter is the path to scan and that these other values are not caller-provided. However, it does not elaborate on 'include_machine', which remains minimally documented in the schema. The description adds meaningful context but doesn't fully cover all parameters.

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 core function: 'Ask jidoseal.com to create a Stripe Checkout session for certifying this corpus, and return the checkout URL.' It uses a specific verb and resource, and distinguishes itself from siblings by emphasizing it is the purchase step and the only network-contacting tool. No ambiguity.

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?

It explicitly instructs when to call: 'Call it only with the customer's explicit go-ahead: it is the purchase step.' It also implies a prerequisite by stating that the tier, score, and Merkle root come from a fresh local scan, and it differentiates from siblings by noting it is the only network-contacting tool. This gives clear context on when to use it versus the scan and offer tools.

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