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

Annotations already indicate readOnlyHint=false and openWorldHint=true, so the description does not need to repeat those. It does add behavioral context by stating it preserves tone/register and flags ambiguous terms with alternate readings, which is valuable. However, it does not disclose any side effects, rate limits, or what happens in error cases. Given the annotations, the description adds some context but not deeply.

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 description is a single, efficient sentence that front-loads the purpose and adds key behavioral details. The parenthetical about cost and type is compact and does not waste space. No extra fluff.

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?

Given the tool's complexity (nested object input, no output schema), the description is incomplete. It fails to specify the input format, expected fields, or how to handle multilingual requests. The agent may know 'translate' but cannot call it correctly without guessing the payload structure. The schema description is misleading and does not compensate.

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 schema has one property 'input' with a generic description that gives examples for other tools (agent-brain, agent-memory), not for translate. The tool description does not explain what the input payload should contain (e.g., source/target languages, text to translate). This is a major gap: the agent cannot determine how to structure the input from either the schema or the description, so parameter semantics are essentially undocumented.

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 clearly states the verb ('Translates'), the resource ('text'), and the specific scope ('between languages'). It adds distinctive details about preserving tone and register and flagging ambiguous terms, which goes beyond a generic translation tool and distinguishes its behavior from a plain translator.

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 implies usage context through details like preserving tone and flagging ambiguities, suggesting it is suited for nuanced translation tasks. However, it does not explicitly state when to use this tool versus alternatives, nor does it mention any exclusions or when not to use it. There are no sibling translation tools to differentiate from, so this absence is less critical, but the guidance remains implicit.

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