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

With no annotations, the description carries the full disclosure burden and does meaningful work: it declares the price ($0.0050 USDC per call), the payment protocol (x402), the execution method (POST to a specific endpoint), and that the backend is a structured AI service. It stops short of describing error behavior, limits, or the exact response shape.

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?

Front-loads the purpose, then parameters, then commercial/execution details in a compact block. The pipe-delimited formatting is terse but every clause (languages, input, price, endpoint) earns its place; nothing is padded.

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 two-parameter translation tool with no output schema and no annotations, the description covers purpose, parameters, cost, and transport. The main omission is any statement of what comes back (translated string vs. structured payload), which the 'AI berstruktur' note only hints at.

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 description coverage is 100% and the description only restates the same facts the schema already carries ('to' target languages, 'text' input). No syntax, defaults, length limits, or format guidance is added beyond the schema.

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+resource ('Terjemah teks' / translate text) and enumerates the supported target languages (ms|en|zh|ta). No sibling tool in the list performs translation, so there is nothing to disambiguate against, but the purpose itself is unambiguous.

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 tells the agent which parameter carries the target language and which carries the source text, which implies usage. However, it gives no when-to-use/when-not guidance, no prerequisites, and no alternatives to consider.

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