build_prompt_variants

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

No annotations are provided, so the description carries the full behavioral burden. It usefully discloses that no LLM call happens, which manages cost and latency expectations, but it does not describe side effects, output shape, error behavior, or how the brief is processed.

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 with no filler, and it front-loads the core action and the important no-LLM distinction. However, it is so short that it misses operational details, though that is more a completeness concern than a conciseness flaw.

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 output schema exists and can document return values, but the input semantics are severely under-specified øg and no annotations compensate. The description does not say what belongs in 'brief', what a 'prompt variant' concretely looks like, or when this tool is preferable to its siblings.

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 0% and the single parameter 'brief' has no property descriptions, only additionalProperties: true. The description never mentions 'brief' or explains what structure should be passed, so an agent has almost no guidance for constructing a valid input.

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: 'Build focused, detailed, and structured prompt variants.' The phrase 'without calling an LLM' further clarifies its role and separates it from siblings get_schema and validate_brief.

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 provided about when to use this tool versus get_schema or validate_brief. The 'without calling an LLM' clause implies a context but does not state preconditions, exclusions, or alternatives explicitly.

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