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scientific_notation

Convert numbers between standard and scientific notation, enabling easy handling of very large or small values in calculations.

Instructions

scientific notation — Other Utilities tool. Costs $0.001 USDC via x402.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
paramsNoTool parameters as JSON object
Behavior2/5

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

With no annotations provided, the description must disclose all behavioral traits. It mentions the cost of $0.001 USDC via x402, which is a useful behavioral fact, but it says nothing about the operation, side effects, or whether any permission or irreversible action is involved. This is a significant gap for a tool with an unknown function.

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

Conciseness2/5

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

The description is very brief, but the 'Other Utilities tool' phrase is redundant filler that does not earn its place. Only the cost sentence is informative, but it is unrelated to the tool's core function. The structure lacks substance and does not effectively front-load useful details.

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

Completeness1/5

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

This tool has no annotations, no output schema, and a non-informative input schema. The description fails to explain what scientific_notation does, making it impossible to infer parameters or expected behavior. In the context of a large sibling list, the description is wholly inadequate for correct invocation.

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

Parameters1/5

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

The input schema contains only a generic 'params' object with the description 'Tool parameters as JSON object', which conveys no real semantic information. The tool description adds no parameter names, formats, or examples, leaving the agent completely in the dark about what arguments to provide. The high schema coverage is meaningless because the existing description is a placeholder.

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

Purpose2/5

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

The description 'scientific notation — Other Utilities tool' essentially restates the tool name without a verb or explanation of what the tool does. It fails to state that it converts numbers to scientific notation or any other concrete action, and it does not distinguish the tool from sibling utilities like convert_number_base or evaluate_math.

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 binary_convert or other math/utilities. The description is purely nominal and gives no conditions, prerequisites, or context for invocation. The cost disclosure does not help with usage decisions.

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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