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Glama

utility-converter

convert_timestamp

Convert between Unix timestamps and human-readable datetimes.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tzNoIANA timezone name used for display/interpretation. Defaults to "Asia/Seoul".Asia/Seoul
valueYesFor "to_datetime", a Unix timestamp in seconds (e.g. "1752300000"). For "to_timestamp", an ISO 8601 datetime (e.g. "2026-07-12 15:30:00"). The special value "now" returns the current time in both formats.
directionNo"to_datetime" or "to_timestamp". Defaults to "to_datetime".to_datetime

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

B3.2/5.0
Behavior2/5

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

No annotations are present, so the description carries full burden. It does not disclose behavioral traits such as timezone handling, side effects, or limitations (e.g., supported ranges, format strictness).

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?

Single sentence conveys the core purpose efficiently with no unnecessary words.

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

Completeness4/5

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

Complexity is low with 3 well-documented parameters and an output schema present. The description is minimal but adequate given schema coverage; no critical gaps.

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%, so baseline is 3. The tool description adds no additional insight beyond what the schema already provides for parameters.

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?

Description clearly states the tool converts between Unix timestamps and human-readable datetimes, which is specific and distinguishes from sibling tools like calculate_date or convert_units.

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. It lacks context about prerequisites or scenarios where conversion is appropriate.

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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TDQS

A3.5/5.0
Disambiguation5/5

All seven tools have clearly distinct purposes: arithmetic, date operations, timestamp conversion, unit conversion, Base64 encoding, currency exchange, and hashing. No two tools overlap in functionality, making disambiguation straightforward.

Naming Consistency5/5

All tool names follow a consistent verb_noun pattern in snake_case (e.g., convert_units, calculate_date). The names are descriptive and predictable, with the only exception being 'calculate' which is a single verb but still fits the pattern.

Tool Count5/5

With 7 tools, the server is well-scoped for a utility converter. Each tool addresses a distinct need (math, dates, timestamps, units, encoding, exchange rates, hashing) without unnecessary redundancy or excessive complexity.

Completeness4/5

The tool set covers common utility conversions and calculations, including arithmetic, dates, units, timestamps, encoding, exchange rates, and hashing. Minor gaps exist (e.g., no string or color conversion), but the core workflows are well-supported and functional.