initialize_loop_run

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

With no annotations provided, the description carries the full burden. It discloses key behaviors: local storage with sha256 hash, no repeated questioning, operator remains stop condition, and dashboard stays available. It lacks explicit mention of error handling or idempotency, but covers the core safety and lifecycle traits.

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 dense paragraph with many clauses and parentheticals. While every sentence contributes information, the structure could be improved with bullet points or clearer separation of concerns for easier scanning.

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?

Given the tool's complexity—7 parameters, nested objects, and many sibling tools—the description adequately covers purpose, usage, behavioral nuances, and parameter context. It does not explain return values, but no output schema exists and the rules state that is not required.

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 86%, baseline 3. The description adds value by explaining the 'answers' parameter as responses to the ask-once questions and clarifies the role of 'task', 'userMessages', and 'runId' in the initialization flow. This goes beyond the schema descriptions.

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 identifies the tool as an 'Ask-once gate' that confirms the task before loops run, and details the specific questions it asks. This distinguishes it from sibling tools like loop_start or loop_next that handle later stages.

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 states when to call (first, before any loop) and to call again with answers to begin. It also clarifies what it never asks (model, promotion mode, etc.), providing implicit guidance on when not to expect those queries. However, it does not explicitly contrast with alternatives.

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