Skip to main content
Glama

UTC clock

validate-json

Check whether a body is valid JSON. The body is discarded.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlNoHTTPS URL to normalize or cite
hostNoPublic hostname
jsonNoJSON text to validate; discarded after the check
zoneNoIANA timezone name

Schema Changelog

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

  1. First observed

TDQS

C2.9/5.0
Behavior3/5

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

The description discloses that the body is discarded, which is a behavioral trait. However, it does not mention side effects beyond that (e.g., whether it validates against a schema, returns a boolean, or throws errors). Without annotations, this partial disclosure is somewhat helpful but incomplete.

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—a single sentence that communicates the core purpose without unnecessary words. It is well-structured and easy to parse.

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 mismatched parameters and lack of clarification on which parameter actually serves as the 'body,' the description is incomplete. It does not explain how the parameters relate to the validation task, leaving ambiguity about required inputs and expected output.

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

Parameters1/5

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

Although the schema provides descriptions for all four parameters, several are clearly mismatched or irrelevant: 'url' is described as 'HTTPS URL to normalize or cite,' 'host' as 'Public hostname,' and 'zone' as 'IANA timezone name'—none of which pertain to JSON validation. Only 'json' has a sensible description. The misleading parameter semantics severely undermine usability.

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 primary action ('Check whether a body is valid JSON') and the resource (the JSON body). It is concise and understandable, though the parameter names do not perfectly align with the described resource, slightly reducing clarity.

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?

The description provides no guidance on when to use this tool versus alternatives, nor any prerequisites or conditions. The only hint is 'The body is discarded,' which implies a stateless check, but there is no explicit usage direction.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

TDQS

C2.6/5.0
Disambiguation4/5

Most tools have distinct purposes, though time-related tools (timezone, tz-utc, utc-time) and URL-related tools (citation, normalize-url, domain-shape) share overlapping domains. However, each tool's specific output and intent are clear enough to avoid confusion.

Naming Consistency5/5

All tools use a consistent lowercase-with-hyphens naming convention (e.g., normalize-url, status-catalog, utc-time). The pattern is uniform and predictable, making it easy to infer function from name.

Tool Count5/5

The server exposes 11 tools, which is a reasonable number for a general-purpose utility. Each tool serves a distinct function without being redundant or excessive, fitting well within the typical range.

Completeness4/5

The tools cover a broad set of utilities (time, URL parsing, HTTP status, JSON validation, robots.txt), but the server name suggests a clock focus. While time-related functionality is well represented, the additional URL and HTTP tools indicate a mixed-purpose design rather than a fully comprehensive single domain.