min_value

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

Without annotations, the description must carry the behavioral burden. It implies a read-only computation, which is likely correct, but does not specify behaviors such as handling of empty arrays, NaN values, or return type. The presence of an output schema mitigates some concern about return format, but the description adds no behavioral detail beyond the basic operation.

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, front-loaded sentence that directly states the tool's purpose with no wasted words. It is appropriately sized for a simple operation, though it could benefit from brief usage or edge-case notes.

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 simplicity, one parameter, and an output schema, the description covers the core function but leaves gaps in usage context, edge-case behavior, and parameter details. It is adequate but incomplete for full contextual understanding.

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 schema has 0% description coverage and only one parameter ('numbers') whose type is clear from the schema. The description does not add any semantics about the parameter, such as format or constraints, but given the simple parameter and output schema, this is minimally acceptable.

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?

States a specific verb ('Find') and resource ('minimum value in a dataset'), and is clearly distinguishable from siblings like max_value, mean, and median. An agent can identify its function immediately.

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?

Provides no guidance on when to use this tool versus alternatives such as max_value or median, or how to handle edge cases like empty datasets. The absence of any usage context forces the agent to infer from the name alone.

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