sympy_Or

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

No annotations provided, so description carries full burden. It only says 'Logical OR' without detailing behavior (e.g., returns symbolic OR, handles multiple arguments, no side effects). Insufficient for understanding tool traits.

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?

Extremely concise (2 words) and front-loaded, but borderline too brief. It earns its place but lacks detail for a symbolic math tool.

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 (symbolic logical OR) and existence of output schema, the description fails to explain return format, usage in symbolic expressions, or relationship to other logical operators. Incomplete for effective selection/invocation.

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?

Input schema has one parameter with description 'Comma-separated expressions' at 100% coverage. The description adds no additional semantic value beyond the schema, so baseline 3 applies.

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 'Logical OR' clearly states the operation but does not differentiate from siblings like sympy_And, sympy_Not, sympy_Xor, etc. It lacks specificity about symbolic usage.

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 guidance on when to use this tool versus alternatives (e.g., sympy_Xor, sympy_Or vs Python 'or'). No context for appropriate use cases.

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