reset_env

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

No annotations are provided, so the description bears full burden. It discloses return values (initial observation, agent state, goal position) and mentions deterministic start, but does not explicitly state that the tool destroys the current environment state or any side effects. Some behavioral context is given, but more would improve 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?

The description is two sentences with no unnecessary words. It front-loads the main action ('Reset the point-mass environment') and concisely details return values. Every sentence is purposeful.

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 tool with one parameter and no output schema or annotations, the description is nearly complete: it explains the purpose, the role of the seed, and the return values. It could mention that it resets the environment to its initial state, but overall it's adequate.

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 input schema has 0% coverage, meaning no parameter descriptions. The description adds meaning by stating that the seed controls the deterministic start, clarifying the parameter's role beyond the default value and type in the schema.

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 verb 'Reset' and the resource 'point-mass environment', specifying it resets to a deterministic start for a given seed. This distinguishes it from sibling tools like step_env (which advances the environment) and encode_observation (which encodes observations).

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 when to use this tool (to reset to a deterministic start with a seed) but provides no explicit guidance on when not to use it or alternatives among siblings. The context is clear but lacks exclusions or comparative context.

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