wait_for_cells

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

No annotations provided. Description mentions polling but does not disclose side effects, timeout behavior, or implications for cell state mutations. Minimal 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?

Single sentence is brief but lacks necessary detail; conciseness comes at cost of completeness.

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?

No output schema, no annotations, 0% param coverage. Critical details missing: timeout behavior, polling semantics, error handling conditions.

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 has 0% description coverage. Description does not explain any parameter meanings or defaults beyond what schema provides, e.g., what targetStates values are valid.

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?

Description clearly states action (polls), resource (cell status), and condition (until target states). Distinct from sibling polling tools like watch_cell_outputs.

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 on when to use this tool vs alternatives, no when-not-to-use scenarios, despite many sibling polling tools.

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