Distill interaction profile

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

With no annotations provided, the description carries the full burden. It mentions 'one-shot batched distillation' implying batch processing but does not disclose whether the call modifies stored state, requires authorization, has rate limits, or what the return value is. The description is insufficient for behavioral understanding.

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 two sentences: purpose then usage scope. It is front-loaded, efficient, and contains no redundant information. Every sentence adds value.

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 description fails to explain what happens after the call (e.g., storage, overwrite behavior) and does not describe the output format. Given the lack of output schema, the description should address return values or side effects. This is a significant gap for a tool that likely mutates state.

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% with detailed property descriptions and enum. The description adds no parameter-specific insights beyond the schema. It reinforces the type of preferences but does not clarify how to format text or use subfields like useWhen/avoidWhen. Baseline 3 is appropriate.

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 performs one-shot batched distillation of concrete collaboration preferences, specifying the resource (interaction profile) and scope (response structure, explanation style, workflow, decision-making). It explicitly excludes personality labels, distinguishing it from sibling tools like distill_recent_style.

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 provides clear context on when to use the tool ('Use for response structure, explanation style, workflow, and decision-making preferences') and what to avoid ('not personality labels'). However, it does not explicitly name alternative tools or state when not to use it beyond the exclusion.

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