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time_convert

Convert and explain a date/time: epoch ms/s, ISO 8601, or relative ("2h ago"). Cross-convert timezones (IANA names like America/New_York). Naive inputs treated as UTC.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
to_tzNoIANA timezone to convert to (comma-separated for several), e.g. Europe/Berlin. Default: UTC only
valueYesTime input: ISO 8601, epoch seconds or milliseconds, or relative like "2h ago" / "in 3 days" / "now"
from_tzNoIANA timezone the input is in, e.g. America/New_York. Use when the input is a wall-clock time without an offset

Schema Changelog

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

  1. Added

TDQS

A4.4/5.0
Behavior4/5

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

There are no annotations, so the description carries the behavioral disclosure burden. It discloses accepted input representations, timezone conversion behavior, and the important default that naive inputs are treated as UTC. It does not describe output shape, but the parsing and timezone defaults are substantial.

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?

Two concise, information-dense sentences front-load the core function and formats. The timezone default is included without filler or unnecessary repetition of the schema.

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?

For a three-parameter conversion tool with no output schema, the description plus schema covers the required value, optional timezone parameters, accepted input types, and the UTC default. It does not describe the exact return shape, but it gives an agent enough to invoke the tool correctly.

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

Parameters4/5

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

Schema coverage is 100%, so the baseline is 3, but the description adds a meaning not present in the schema: naive inputs are treated as UTC. It also reinforces relative-time parsing and timezone cross-conversion, going slightly beyond the structured parameter descriptions.

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

Purpose5/5

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

The description starts with a specific verb and resource ('Convert and explain a date/time') and enumerates accepted input forms (epoch ms/s, ISO 8601, relative) plus timezone cross-conversion. This clearly distinguishes it from the sibling converter utilities, which are all named for different formats.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description gives clear context: use this when converting or explaining date/time values, including timezone conversion with IANA names. It does not explicitly name alternatives or exclusions, but the listed formats and timezone behavior make the intended use evident.

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

A4.1/5.0
Disambiguation5/5

Each tool targets a distinct operation—encoding, color conversion, parsing, hashing, JWT validation, Markdown rendering, regex testing, SemVer operations, diffing, URL analysis, and UUID generation. The four SemVer tools are related but cleanly separated by action (bump vs compare vs max vs satisfies), and descriptions clarify their boundaries.

Naming Consistency4/5

Tools overwhelmingly follow an object_verb snake_case convention (base64_encode, csv_parse, regex_test, semver_bump). Semver_max and semver_satisfies deviate slightly from the imperative verb pattern, but the overall naming is predictable and searchable.

Tool Count4/5

At 16 tools, the server is slightly above the ideal 3–15 tool range but each utility earns its place for a general-purpose developer toolbox. No tools feel redundant, and the count remains manageable because the names and domains are highly scannable.

Completeness4/5

The toolkit covers a solid breadth of common developer utilities: encodings, common formats (JSON, CSV, Markdown), hashing/JWT, regex, SemVer, cron, URL, UUIDs, and diffing. It lacks some fringe converters such as YAML/XML parsing or HTML escape/unescape, but these are minor gaps that agents can work around rather than dead ends.