create_list

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

With no annotations, the description must carry the behavioral disclosure burden. It mentions creation and shareability but does not explain side effects, authentication requirements, rate limits, or what the tool returns. For a mutation tool, this is a significant gap.

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, well-structured sentence that conveys the core functionality without unnecessary words. Every phrase adds value, earning a perfect score for conciseness.

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 schema is rich and fully documented, but the description lacks guidance on return values (no output schema) and does not clarify the mutual exclusion between tasks and ai_generate, which is only hinted at in the schema. It is adequate for basic understanding but not fully complete given the tool's complexity.

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 provides 100% coverage of all five parameters with clear descriptions. The tool description adds minor context by referencing the two modes (manual tasks vs. AI generation) but does not meaningfully enhance parameter understanding beyond the schema, so the 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 creates a new shareable task list and distinguishes between AI-generated and manually provided tasks. It is specific enough to differentiate from siblings like get_list (read) and generate_tasks (task generation only).

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 for creating a list with either manual or AI‑generated tasks, but does not explicitly state when to prefer this over generate_tasks or get_list. No exclusion criteria or alternative guidance is provided, so it falls into implied usage.

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