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

Annotations already declare readOnly, idempotent, openWorld and non-destructive, so the safety profile is covered. The description adds genuinely new behavioral facts: automatic source-language detection and a per-call cost of $0.01 USDC via x402, which matters for an agent deciding whether to call it.

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, front-loaded with what the tool does, followed by use cases and pricing. Every sentence carries information an agent would act on, with no repetition of the schema.

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 does state what comes back (an English translation) and that source language is detected. It stops short of saying whether the detected language is returned in the response or how errors/unsupported input are surfaced, a small gap for a paid API call.

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?

Schema coverage is 100% with a single documented "text" parameter, so the schema carries the parameter burden. The description adds only the loose constraint that the input may be in any language, which the schema already says; no format, length, or encoding guidance is offered.

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?

States a specific verb and resource ("Translate any language to English") plus the implicit detection step, so the operation is unambiguous. It does not explicitly contrast itself with the sibling interzoid_translate_to_any, leaving the agent to infer the direction difference from the name alone.

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?

Use cases are given ("multilingual support, content analysis, normalizing international data"), which implies when the tool fits. However, there is no explicit when-not guidance and no reference to the closely related interzoid_translate_to_any or interzoid_identify_language, so the agent must guess at routing.

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