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

The description goes well beyond the sparse annotations by disclosing token validity (seven days), draft retention (30 days), the fact that checkout records are protected, and that starting a session does not place or pay for an order. This gives the agent a clear behavioral model without relying on the annotations.

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 longer than average, but almost every sentence carries operational value: eligibility, exclusions, required customer disclosure, token expiration, and downstream recipients. It is front-loaded with the most important condition. A small amount of detail, like the contended 'Checkout or unresolved purchase records are protected' sentence, is slightly less actionable.

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?

With no output schema, the description correctly explains what the tool returns (a private guestToken) and how it should be used. It also covers the main prerequisites and side effects. Minor gaps remain, such as not describing explicit failure conditions or revocation, but overall the description is sufficient for correct invocation.

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 zero parameters, so the baseline is 4. The description appropriately focuses on the tool's return value and downstream usage rather than inventing parameter details. There is no parameter ambiguity to resolve.

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 identifies the tool's function: starting an InkFE guest session, explicitly scoped to anonymous callers when guest access is enabled. It also differentiates the tool from connected sign-in and integration-key flows, and names the downstream tools that should receive the guestToken.

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 gives explicit when-to-use guidance (anonymous callers, guest access enabled), when-not-to-use guidance (already connected via OAuth or provisioned key), and concrete post-conditions (pass token to create_business_card_design and create_checkout). This is unusually actionable.

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