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

Beyond the read-only, idempotent, and non-destructive annotations, it discloses significant cross-tool behavior: when access is false, every tool that stores something is refused while the rest still work. It also explains Stripe status sourcing, null and date conventions, and the behavior of the manage, withdraw, and subscribe links, including the 14-day full-refund condition.

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 purpose and use cases are front-loaded, followed logically by the return shape and field semantics. The single paragraph is dense and contains several compressed clauses, reducing scannability, but nearly all of its content 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 zero-argument read with no output schema, the description supplies the returned keys, date and null conventions, field-by-field meanings, and actionable-link behavior. It also documents the access=false effect on other tools, leaving no material gap for invocation or result interpretation.

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?

There are no input parameters, so no parameter syntax or semantics require explanation; the zero-parameter baseline applies. The explicit current-account scope also makes it clear why no account or subscription identifier is needed.

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 uses the specific verb "Read" and scopes the resource to "this account's Graphlog Career subscription as stored." It further identifies the subscription, price, renewal, cancellation, refund, and payment questions it answers, distinguishing it from the sibling record and application tools.

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 phrase "It serves questions about..." provides clear when-to-use guidance across several billing and subscription-lifecycle topics. It does not explicitly state when not to use the tool or route mutations to another tool, though it explains that management, withdrawal, and subscription actions are available through returned links.

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