translate

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

No annotations are provided, so the description carries the full burden. It discloses that the tool does not perform translation itself but returns a prompt for the host AI, which is a key behavioral trait. However, it does not describe any side effects, authentication requirements, rate limits, or error conditions, leaving gaps in transparency.

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 consists of two efficient sentences. The first sentence immediately states the core function, and the second provides context about the MCP server's role. No redundant words or unnecessary details are present.

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 tool with three required parameters and no output schema or annotations, the description is mostly complete. It explains the output (structured translation prompt) and the division of labor with the host AI. However, it could benefit from mentioning the prompt format or an example, especially given the lack of output schema.

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%, so the schema already provides meaning for all three parameters (text, source_language, target_language). The description adds no additional parameter-specific information beyond what the schema states, resulting in a baseline score of 3.

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 tool returns a structured translation prompt and that the MCP server provides formatting/context while the host AI performs the actual translation. It differentiates from sibling tools (adjust_tone, check_grammar, improve_writing) which address different tasks. However, it does not use a single verb+resource phrase, slightly reducing clarity.

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 the tool should be used when translation is needed, but the host AI handles the actual translation. It does not explicitly state when to use versus alternatives or provide case exclusions. Usage context is implied rather than explicitly guided.

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