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

Annotations already declare this is a safe, idempotent, closed-world read, so the safety burden is lifted. The description adds useful scope context by enumerating what the guide covers (engines, voices, limits, price, products, plans, credit packs). It stops short of distinguishing content that may go stale or differ from live account data.

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?

Three short sentences: coverage first, then routing triggers, with no filler. Every clause either defines scope or tells the agent when to fire the tool.

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 parameters, an output schema present (so return values need not be described), and rich safety annotations, the remaining job is scope and trigger, both of which the description covers. Nothing needed to call it correctly is missing.

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 the baseline is 4 per the rubric. The description correctly implies a parameterless, fetch-everything reference call and adds no misleading parameter expectations.

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 states a specific resource (the full Audexum documentation: engines, voices, limits, pricing, products, plans, credit packs) rather than restating the tool name. An agent can immediately distinguish this static reference tool from action siblings like generate_speech, transcribe, and list_voices.

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 gives explicit trigger conditions ("call it when the user asks what Audexum can do, which voice or engine to use, or about plans and prices"), which is strong when-to-use guidance. It does not, however, address overlap with siblings such as list_voices for voice enumeration or get_upgrade_link/account_status for plans and pricing, so exclusions are absent.

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