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Europe/Berlin 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

D1.7/5.0
Behavior1/5

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

With no annotations, the description carries the full burden of explaining side effects, permissions, or output behavior. It only notes that the body is discarded, but does not disclose what the tool returns, whether it is read-only, or any other behavioral implications. The schema mismatch compounds the opacity.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is short and direct, with no unnecessary words. However, it omits essential context due to brevity.

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

Completeness1/5

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

The description is far from complete for an agent to invoke reliably: it lacks return value semantics, required parameter relationships, and clarification of the body/schema mismatch. The sibling tool list suggests a broader context, but no integration is provided.

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?

Parameter descriptions are present but mostly inconsistent with the JSON-validation purpose: url, host, and zone descriptions relate to other tool domains, while only json matches the stated functionality. The schema does not explain how url, host, and zone should be used in validation.

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

Purpose2/5

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

The description states a specific action, 'Check whether a body is valid JSON', but the input schema contains no body parameter, only url, host, json, and zone. This mismatch makes the intended resource unclear and potentially misleading.

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

Usage Guidelines1/5

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

No guidance is given about when to use this tool versus the many siblings like normalize-url, timezone, or status-catalog. The description's reference to a 'body' that does not appear in the schema further confuses appropriate usage.

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

C2/5.0
Disambiguation2/5

Several tools overlap in purpose: timezone, tz-europe-berlin, and utc-time all return current time, and citation/normalize-url both analyze URL components. 'compatibility' is too vague to distinguish from the other HTTP/classification tools.

Naming Consistency3/5

All names are lowercase and hyphenated, which is a consistent delimiter style, but the pattern mixes verb phrases (inspect-robots, normalize-url, validate-json) with noun phrases (citation, compatibility, status-catalog). There is no uniform verb_noun or noun_noun convention.

Tool Count2/5

Eleven tools is not excessive in raw count, but the server is named as a clock and only four tools (timezone, tz-europe-berlin, utc-time, iana-zones) support that purpose. The rest are unrelated web/HTTP/JSON utilities, making the set poorly scoped.

Completeness2/5

For the clock domain, time lookup is covered but timezone conversion is missing. For the broader web/HTTP utilities hinted at by the other tools, the surface is incomplete and lacks a clear lifecycle or workflow, so agents would hit dead ends.