random_array

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

No annotations are provided, so the description carries the full burden. It states the tool generates random numbers but doesn't disclose behavioral traits such as the range of random numbers (e.g., integers, floats, distribution), whether the output is deterministic or seeded, or any performance considerations. The description is minimal and lacks essential context for a tool that produces random data.

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 extremely concise and front-loaded: a single sentence that directly states the tool's purpose. There is no wasted language or redundancy, making it efficient and easy to parse.

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 complexity (generating random arrays), lack of annotations, 0% schema coverage, and no output schema, the description is incomplete. It doesn't address key aspects like the type of random numbers, distribution, or output format, leaving significant gaps for an AI agent to understand and use the tool effectively.

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 2 parameters with 0% description coverage, so the description must compensate. It mentions 'specified dimensions' but doesn't explain what 'rows' and 'cols' represent (e.g., array shape, constraints like positive integers). The description adds minimal meaning beyond the schema, failing to clarify parameter roles or usage.

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 tool's purpose: 'Generate an array of random numbers with specified dimensions.' It includes a specific verb ('Generate'), resource ('array of random numbers'), and scope ('with specified dimensions'). However, it doesn't explicitly differentiate from sibling tools like 'random_float' or 'random_int', which generate single random values rather than arrays.

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 provides no guidance on when to use this tool versus alternatives. It mentions a domain ('arithmetic') and category ('general'), but offers no explicit when/when-not instructions or references to sibling tools like 'random_float' or 'random_int' for comparison. Usage is implied rather than stated.

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