cron_matches
Check if a cron expression matches a specific datetime (ISO-8601).
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| expr | Yes | ||
| at_time | Yes | ISO-8601 datetime | |
| timezone | No | UTC |
Check if a cron expression matches a specific datetime (ISO-8601).
| Name | Required | Description | Default |
|---|---|---|---|
| expr | Yes | ||
| at_time | Yes | ISO-8601 datetime | |
| timezone | No | UTC |
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden of behavioral disclosure. It does not mention the return type (e.g., boolean), the expected cron expression format (e.g., 5-field or 6-field), how invalid expressions are handled, or timezone interpretation. This is insufficient for a tool with no annotations.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single sentence that efficiently conveys the tool's core functionality. No unnecessary words, and it is front-loaded.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool has 3 parameters, no output schema, and no annotations, the description is too minimal. It fails to document the return value, cron expression format, timezone handling, or error behavior, making it incomplete for an agent to use correctly.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The description adds little beyond the input schema. It repeats the ISO-8601 mention for at_time (already in schema) and provides no additional meaning for expr or timezone. With only 33% schema description coverage, the description should compensate by explaining these parameters further.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool's purpose: checking if a cron expression matches a specific datetime. It uses a specific verb 'check' and resource 'cron expression matches a specific datetime', which distinguishes it from sibling tools like cron_next_runs or cron_validate.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
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 such as cron_next_runs or cron_validate. Given the many sibling tools related to cron, the description should explicitly mention when to choose this tool and when not to.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Every tool has a clear, distinct purpose with thorough descriptions. Even closely related tools like base64_decode/encode and hash_md5/sha256 are easily differentiated by name and description.
All tools follow a consistent lowercase_underscore naming convention, typically in a <domain>_<action> or <action>_<domain> pattern. There are no jarring deviations or mixed styles.
193 tools is an extreme count, far beyond what any focused server needs. While each tool has utility, the sheer number creates a kitchen-sink effect that overwhelms agents and hinders discoverability.
Within each subdomain (JSON, cron, JWT, etc.), the coverage is exhaustive, covering validation, conversion, parsing, and more. Minor gaps exist (e.g., YAML-to-TOML conversion missing), but overall it is remarkably complete.