evaluate_expression

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

With no annotations, the description provides useful behavioral context by specifying 'symbolically' and showing Python-style syntax examples. However, it does not mention output format, error handling, or any side effects, leaving some behavioral traits undisclosed.

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 sentence with two illustrative examples, front-loaded with the operation and resource. Every element earns its place; there is no redundancy or unnecessary detail.

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?

For a simple one-parameter tool, the description covers purpose and basic syntax, and the output schema handles return values. However, it lacks usage context and behavioral details that would make it fully self-sufficient, especially given competing sibling tools.

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 a single 'expression' parameter with no description (0% coverage), so the description's examples ('integrate(x**2, x)', 'sqrt(144) + 2**10') add meaningful semantics about the expected syntax and format beyond the bare schema.

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 function with a specific verb ('symbolically evaluate or simplify') and resource ('math expression'), supported by concrete examples. However, it does not differentiate from the sibling tool 'simplify_expression', and the dual verb creates slight ambiguity.

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 is provided on when to use this tool versus alternatives like 'solve_expression' or 'simplify_expression'. The examples imply usage but there is no explicit scenario, prerequisite, or exclusion.

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