cosh
Calculate the hyperbolic cosine of a number, with optional precision control for the result.
Instructions
Compute hyperbolic cosine.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| x | Yes | Number. | |
| precision | No | Optional precision. |
Calculate the hyperbolic cosine of a number, with optional precision control for the result.
Compute hyperbolic cosine.
| Name | Required | Description | Default |
|---|---|---|---|
| x | Yes | Number. | |
| precision | No | Optional precision. |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations provided, and the description does not disclose any behavioral traits beyond the basic operation. No mention of domain, range, or special cases.
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 very concise (2 words) but lacks important context. It is appropriately sized for a simple function but could include more detail without being verbose.
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 no output schema, the description should explain return value or behavior. It only says 'Compute hyperbolic cosine', which is insufficient for completeness.
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 coverage is 100%. The description adds no additional meaning beyond what the schema provides for 'x' and 'precision', so baseline score of 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 'Compute hyperbolic cosine' clearly states the verb and resource, differentiating it from siblings like cos, sin, tan.
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 cosh vs alternatives like cos or acosh. No when-not-to-use or context provided.
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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