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set_variable

Store the result of a mathematical expression as a variable for reuse in subsequent calculations.

Instructions

Set a variable value in the math context

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesVariable name
expressionYesMathematical expression to evaluate and store
Behavior2/5

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

With no annotations, the description carries the full burden. It does not disclose whether the variable is overwritten, whether the expression is evaluated immediately, what happens on invalid expressions, or any persistence/scope details.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, direct sentence with no filler. It is appropriately front-loaded and every word earns its place.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple two-parameter tool with fully described parameters, the description gives the core purpose. However, given it is a mutation tool with no annotations and no output schema, it lacks behavioral context (overwrite, error handling, scope) that would make it fully complete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, and the parameter descriptions ('Variable name', 'Mathematical expression to evaluate and store') are clear. The tool description adds no additional semantic detail beyond the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action ('Set a variable value') and the context ('math context'). It distinguishes the tool from siblings like get_variable, list_variables, and clear_variables by specifying the write operation.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

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, such as when to set a variable versus evaluate an expression directly. There is no mention of prerequisites or typical use cases.

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

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