Skip to main content
Glama

x402-seconds-to-human

Seconds To Human: Convert seconds to human.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
valueNoValue to process
secondsNoSeconds to process

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changed
    • addedInput schema / properties / seconds
      Added value: +{
      +  "description": "Seconds to process",
      +  "type": "string"
      +}
    • addedInput schema / properties / value
      Added value: +{
      +  "description": "Value to process",
      +  "type": "string"
      +}
  2. First observed

TDQS

C2.5/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure, and it delivers almost nothing: no output format (e.g. '2 hours 5 minutes'), no handling of negative or fractional seconds, no rounding behavior. For a pure-function converter with zero annotation coverage, this is a thin disclosure.

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?

It is short and front-loaded, but the 'Seconds To Human:' prefix merely echoes the tool name and the single remaining clause is minimal. It is concise by being under-specified rather than by being efficiently informative.

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?

With two loosely documented parameters, no output schema, and no annotations, an agent needs the description to clarify input choice and return shape. Neither is addressed, so the definition is not sufficient for confident invocation.

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%, which sets the baseline at 3, but the schema text itself is unhelpful ('value': 'Value to process', 'seconds': 'Seconds to process') and both parameters are optional, creating ambiguity about which one actually drives the conversion. The description does nothing to resolve that overlap.

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

Purpose3/5

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

The description states a verb (Convert) and a resource (seconds to human), so the basic operation is inferable. However, 'Seconds To Human: Convert seconds to human' is essentially the tool name restated, and it gives no differentiation from the many sibling *-humanize tools (x402-duration-human, x402-duration-humanize, x402-number-humanize, x402-data-size-humanize). It sits between vague and tautological.

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?

There is no when-to-use guidance, no mention of when this is preferable to x402-duration-human or x402-duration-humanize, and no stated prerequisites or input expectations. The agent is left to infer context entirely.

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

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

Resources