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Glama

cron-expression-generator

Read-onlyIdempotent

Parse a 5-field cron expression, describe it in plain English, and compute the next N fire times. Input the standard 'minute hour day-of-month month day-of-week' form (e.g. '0 9 * * 1-5' for weekdays at 9am).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
fromIsoNoReference time in ISO 8601 (e.g. '2026-05-14T10:00:00Z'). Defaults to current time. Used for deterministic 'next run' computation.
nextCountNoHow many upcoming fire times to compute. Default 5. Use 0 to skip.
expressionYesA 5-field cron expression — minute hour day-of-month month day-of-week. Examples: '0 9 * * 1-5' for weekdays at 9am, '*/15 * * * *' every 15 minutes.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
validYesTrue when the expression parsed cleanly.
nextRunsYesISO 8601 timestamps (UTC) of the next N fire times.
expressionYesThe normalized cron expression, echoed back.
descriptionYesPlain-English description of when the expression fires.

Schema Changelog

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

  1. Added

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false, and idempotentHint=true, lowering the burden. The description adds value by explaining the tool's non-mutating actions (parse, describe, compute) and specifying the 5-field constraint. No contradictions with annotations exist.

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?

The description is only two sentences and is entirely front-loaded with the core actions. It includes a relevant example without any redundant words or filler, making every sentence earn its place.

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

Completeness5/5

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

Given the rich input schema, annotations, and the presence of an output schema, the description is complete. It covers the input format, the computation behavior, and an example, leaving no significant gaps for an agent to understand and invoke the tool correctly.

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?

The schema covers all three parameters with detailed descriptions (100% coverage), so the baseline is 3. The description's example adds a concrete illustration but does not provide additional semantic depth beyond what the schema already states for fromIso and nextCount.

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 clearly states the tool's function with specific verbs: 'Parse a 5-field cron expression, describe it in plain English, and compute the next N fire times.' It precisely identifies the resource (cron expression) and the actions (parse, describe, compute), making it distinct from sibling tools like calculators and converters.

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 by specifying the exact input format and an example: "Input the standard 'minute hour day-of-month month day-of-week' form (e.g. '0 9 * * 1-5' for weekdays at 9am)." It does not explicitly mention when not to use the tool or name alternatives, but no close siblings exist, so the guidance is sufficient.

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

A3.9/5.0
Disambiguation4/5

Most tools have distinct purposes. However, 'hex-to-rgb' is redundant with 'color-converter', which already handles hex-to-RGB conversion, causing potential confusion.

Naming Consistency4/5

Names follow a consistent lowercase-with-hyphens style, but vary in pattern (e.g., 'angle-converter', 'average-calculator', 'dedup-lines'). One tool ('internal-do-not-call') deviates from the descriptive norm.

Tool Count2/5

With 46 tools, the server is heavily populated. Many converters could be merged into a generic unit converter, and there is redundancy, making the surface unnecessarily large for a single server.

Completeness4/5

The server covers a broad range of utility domains: converters, text processing, math, cryptography, etc. Minor redundancies exist (e.g., hex-to-rgb vs color-converter), but the set is otherwise comprehensive.

Resources