optimize_energy_schedule

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

With no annotations, the description carries the full burden of behavioral disclosure. It states the core behavior (delaying non-urgent jobs) but omits important details such as whether the job_queue is permanently modified, what happens to urgent jobs, how 'non-urgent' is determined, or whether any side effects (e.g., missed deadlines) may occur. The behavior is only partially transparent.

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 sentence with no redundant words. It effectively communicates the high-level purpose in an efficient manner, earning its place despite being brief.

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 3 parameters, no annotations, and no output schema, the description is too thin. It fails to provide necessary context about the function's return value, error handling, side effects, or how the parameters interact. The description is not complete enough for an agent to confidently invoke the tool without additional information.

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 0%, so the description must explain parameter meanings. It indirectly references 'energy prices' and 'off-peak hours', which relate to current_energy_price and threshold_price, and 'non-urgent jobs' to job_queue, but it does not clarify the exact semantics or relationships between parameters. For example, whether threshold_price is a maximum or minimum threshold is ambiguous.

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 uses specific verbs ('checks', 'delays') and names the resource (energy schedule, jobs). It clearly indicates the tool's role in reducing electricity costs by shifting non-urgent jobs to off-peak hours. While it doesn't explicitly contrast with sibling tools, the action and context are distinct enough given the sibling names.

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 explicit guidance on when to use this tool versus alternatives. It implies usage for cost savings but does not mention scenarios where this tool should not be used, nor does it reference sibling tools or other optimization strategies. The context is only implied by the phrase 'to save electricity costs.'

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