wisdom_transform_from_fragment

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

The parenthetical 'delegates to host for LLM-based transformation' is a useful behavioral disclosure, indicating that the operation depends on host-side LLM processing. However, with no annotations present, the description still does not clarify whether the transformation mutates or stores anything, what happens to the original fragment, or what the return value is.

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 concise sentence that communicates purpose, direction, and implementation mechanism without redundancy or filler. It is well front-loaded and every word earns its place.

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?

The tool has no output schema and no annotations, so the description must explain expected behavior and return semantics, but it does not. It leaves unclear whether the tool returns transformed text, stores a result, or only triggers a transformation, especially given the existence of sibling tools like `wisdom_store_transformed_fragments`.

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 documents all three parameters. The description adds meaningful direction by specifying that fragments are English and are transformed 'back' to a target language, which clarifies the roles of `fragment_uuid` and `target_language` beyond the schema text.

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 uses a specific verb and resource: it transforms English fragments back into a target language, with a parenthetical noting host delegation. This makes the core purpose clear, though it does not explicitly name or contrast the similar sibling `wisdom_transform_to_fragment`.

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?

No guidance is given about when to use this tool instead of `wisdom_transform_to_fragment`, `wisdom_auto_transform`, or related transform tools. There are no prerequisites, exclusions, or conditions stated, so the agent must infer usage from the tool name and description.

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