Skip to main content
Glama

np_tanh

Calculate the hyperbolic tangent of each element in an input array, performing element-wise mathematical operation.

Instructions

Hyperbolic tangent, element-wise.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
arrayYesThe input array.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

No annotations provided, and the description only mentions 'element-wise' but does not disclose output shape, data type preservation, error conditions, or any side effects. The output schema exists but is not referenced.

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

Conciseness3/5

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

The description is extremely short and adequate for a simple function, but it could include more key behavioral details without being verbose. It is not particularly front-loaded.

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

Completeness2/5

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

Given the existence of an output schema and many sibling tools, the description is too minimal to provide complete context. It does not help an agent distinguish np_tanh from similar functions or understand the output.

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 coverage is 100%, so baseline is 3. The description adds 'element-wise' which describes the operation but does not enhance the parameter meaning beyond what the schema provides.

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

Purpose4/5

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

The description clearly states it computes hyperbolic tangent element-wise, which matches the function name. However, it does not explicitly differentiate from sibling math functions like np_tan or np_sinh, but the name and description together are unambiguous.

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 on when to use this tool versus alternatives like np_tan or np_sinh. The description lacks context for selection.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/daedalus/mcp-numpy'

If you have feedback or need assistance with the MCP directory API, please join our Discord server