tesla_set_charge_limit

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

No annotations are provided, and the description does not disclose behavioral traits such as whether the change is immediate, if it affects ongoing charging, or any authentication requirements. The description is too brief to inform the agent about side effects.

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?

Extremely concise: one sentence with no fluff. The verb and resource are front-loaded, making the purpose instantly clear.

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 presence of an output schema (not shown), the description need not explain return values. However, for a mutation tool with no behavioral transparency, the description feels incomplete. It covers the core function but lacks context on side effects or 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 description coverage is 100% and the schema already describes 'percent' with a recommendation. The tool description adds the valid range (50-100), which is missing from the schema, thus providing valuable meaning beyond the schema alone.

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 'Set' and the resource 'charge limit', and specifies the allowed range (50-100). It effectively distinguishes from sibling tools like tesla_charge_start which control charging state, not the limit.

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 or how to use this tool versus alternatives. It does not mention prerequisites (e.g., car must be idle) or typical usage scenarios like setting before charging.

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