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lazymac2x

lazymac-mcp

cron_parser

Parse cron expressions to explain schedules, validate syntax, generate expressions, and calculate next run times.

Instructions

Cron expression parser — explain, validate, generate, next runs

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
paramsNoFree-form params object — passed as query string for GET, JSON body for POST
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It lists functions (explain, validate, generate, next runs) but doesn't describe how these are invoked, what inputs trigger which functions, error handling, rate limits, or output format. The vague 'params' object in the schema adds to the opacity, leaving the agent unsure how to use the tool effectively.

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 extremely concise with four key functions listed in a dash-separated format. Every word earns its place by highlighting core capabilities without redundancy. It's front-loaded with the main purpose and efficiently structured.

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 tool's complexity (multiple functions), lack of annotations, vague input schema, and no output schema, the description is incomplete. It doesn't explain how to invoke specific functions, what the outputs look like, or error conditions. For a tool with such open-ended parameters, more context is needed for effective use.

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

Parameters2/5

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

The input schema has 100% description coverage but describes the single parameter as a 'Free-form params object — passed as query string for GET, JSON body for POST'. This is vague and doesn't explain what specific parameters (e.g., cron expression, action type) are needed. The description adds no parameter details beyond the schema, failing to compensate for the schema's lack of specificity.

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 the tool's purpose with specific verbs (explain, validate, generate, next runs) and resource (cron expression parser). It distinguishes itself from sibling tools by focusing on cron expressions rather than AI, data, or other utilities. However, it doesn't explicitly differentiate from potential similar cron tools that might exist elsewhere.

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. The description lists functions but doesn't specify contexts, prerequisites, or exclusions. Given the sibling tools are unrelated (AI, data, crypto, etc.), there's no explicit comparison to help an agent choose between similar parsing tools.

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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