evaluate_expression

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

With no annotations, the description carries the full burden of behavioral disclosure. It does reveal an important trait: the result is a floating-point numeric value, not a symbolic result. However, it does not disclose behavior for invalid expressions, undefined variables, precision limits, or error handling, which would be useful for an agent invoking the tool.

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, front-loaded sentence with no filler or redundant phrasing. It earns its place by stating the core action and result type. However, it is slightly too brief to address the missing parameter semantics, though conciseness itself is strong.

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?

The tool is simple with one required parameter and an output schema, which reduces the need to describe return values. The description captures the basic purpose, but the lack of expression syntax guidance and error-behavior context leaves a moderate gap. It is minimally adequate but not fully complete.

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 description must compensate for the undocumented 'expression' parameter. It only restates 'symbolic expression' without explaining the expected syntax, grammar, supported functions, or whether variables are allowed. The agent cannot fully infer how to construct the expression string.

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 uses a specific verb ('Evaluates') and resource ('symbolic expression'), and clearly specifies the output ('numeric result (floating-point)'). This distinguishes it from siblings like solve_equation, simplify_expression, and parse_latex_to_sympy, which perform different operations on expressions.

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 intended use is implied: use this tool when you need a numeric value from a symbolic expression. However, the description does not explicitly state when not to use it or mention alternatives such as simplify_expression for algebraic manipulation or solve_equation for equations.

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