dalembert_reset

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

Without annotations, the description must disclose behavior. 'Reset to initial state' implies discarding current session progress, but it does not clarify side effects (e.g., whether data is permanently lost) or assume an active session. This is minimally adequate but lacks depth.

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 that conveys the essential information. It is front-loaded and contains no extraneous content, making it easy for an agent to parse quickly.

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?

For a simple, no-parameter tool, the description is mostly complete. It informs the agent of the action and object. However, it could be improved by noting that a session must already exist (implied by sibling tools like 'dalembert_init'), but this is not critical.

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 tool has zero parameters, and the input schema is empty. Per guidelines, a baseline of 4 is assigned. The description does not need to explain parameters, but it adds no extra context about any implicit inputs.

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's purpose: resetting a D'Alembert session to its initial state. The verb 'reset' and the specific resource 'D'Alembert session' are precise and distinguish it from sibling tools for other betting systems.

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 no guidance on when to use this tool versus alternatives like 'dalembert_init' or 'dalembert_record'. There is no mention of prerequisites, typical scenarios, or when not to reset, leaving the agent without context for decision-making.

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