sympy_root

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

No annotations are provided, so the description carries full burden for behavioral disclosure. It does not mention what happens for negative n, complex expressions, or edge cases like n=0. The output schema exists but the description adds no behavioral context.

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 very concise (one phrase), but it lacks necessary details for an agent to use the tool correctly. While front-loaded, it is under-specified and could benefit from added context without sacrificing conciseness.

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 no annotations and a minimal description, the tool's behavior is not fully specified. The output schema exists but is not described. Constraints on n, handling of expressions, and edge cases are missing, making it incomplete for a reliable agent usage.

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 covers both parameters (expr and n) with descriptions, achieving 100% schema coverage. The description adds no additional meaning beyond the schema, so a baseline score of 3 is appropriate.

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 'N-th root' clearly indicates the tool computes an n-th root of an expression. However, it does not specify the type of root (e.g., principal, real) or differentiate from sibling tools like sympy_sqrt and sympy_cbrt, which are specific cases.

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 like sympy_sqrt or sympy_cbrt. There is no mention of appropriate contexts or when not to use it.

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