max_value

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

No annotations are provided, so the description bears the full burden. It conveys that this is a pure computation over a numeric array (no side effects implied by 'find'), but does not disclose behavior for edge cases such as empty arrays, ties, or non-numeric input. For a trivial pure function this is adequate but thin.

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?

A single short sentence with no wasted words, and the core purpose is front-loaded. It is appropriately sized, though slightly under-specified rather than maximally informative.

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?

An output schema exists, so return values need not be explained, and this is a simple single-parameter pure function. The description is complete enough for an agent to invoke it correctly, with only edge-case behavior left implicit.

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 0%, so the schema gives only the parameter name 'numbers' and type. The phrase 'in a dataset' loosely maps to that array input but adds no real format, constraint, or ordering semantics beyond what the schema shows.

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 states a specific verb ('find') and resource ('maximum value') with scope ('in a dataset'), which is clear on its own. It does not, however, explicitly differentiate from the closely related sibling min_value, though the name and wording make the distinction inferable.

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?

There is no guidance on when to use this tool versus alternatives like min_value, mean, or median, all of which are siblings. No prerequisites, edge-case handling, or exclusions are mentioned.

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