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

Annotations already declare readOnly, idempotent, non-destructive and closed-world, so the safety profile is covered. The description adds context the annotations cannot: the call is free, auth can come from an api_key, oauth or session, and plan/usage/limits belong to the organization and are shared by its members and keys. It does not discuss staleness or caching of usage counters, which is a minor gap.

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 what-is-returned clause is front-loaded, followed by scoping and then actionable when-to-use guidance. The opening sentence is a long comma-spliced enumeration and could have been split for scannability, but every clause carries information about return values that has no output schema to document it.

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 carries the full burden of describing the response, and it does so across account, organization, role, auth method, plan, limit usage and next-plan checkout_url. Auth requirements and the free/shared-org semantics are also covered. Only the cross-references to closely related sibling tools are absent.

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 tool takes zero parameters, so there is nothing for the description to disambiguate and the baseline applies. The description usefully does the inverse job of explaining what the (empty) call returns, including the distinction that plan, usage and limits are organization-scoped rather than caller-scoped.

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 signed-in account and the organization the call acts in" is a specific verb-plus-resource statement, and the enumeration that follows (email/profile, org id/slug/name/type, role, auth method, plan, limits, checkout_url) makes the returned shape concrete. It does not, however, distinguish itself from siblings like get_usage, get_subscription, get_pricing or list_orgs, whose subject matter overlaps with what this tool returns.

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?

Explicit trigger conditions are given: call before a large batch to check whether it fits, and after a human pays to see the new plan. It also names a prerequisite ("Needs an API key or a connected account"). What is missing is routing guidance versus the overlapping siblings, e.g. when to prefer get_usage or get_subscription over this composite call.

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