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ISO ordinal day

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

A3.5/5.0
Behavior3/5

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

With no annotations, the description carries the behavioral burden, and 'The body is discarded' is a useful disclosure that this is a non-persistent check. However, it does not say what the tool returns or does on invalid JSON, whether any network call is made, or how errors surface. This is adequate but thin.

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?

Two short sentences with the core action and the key side-effect (discarding the body) front-loaded. Every word earns its place.

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

Completeness3/5

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

Without an output schema, the description does not clarify the expected result, and the presence of four optional parameters with no guidance about which ones matter creates ambiguity. It is minimally sufficient because the 'json' parameter description fills in the main input, but the tool feels under-specified for a no-annotation context.

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?

Input schema coverage is 100%, so the baseline is 3. The description maps conceptually to the 'json' parameter but adds no new parameter-level meaning; the url, host, and zone parameters are left unexplained and feel unrelated to JSON validation.

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 uses a specific verb ('Check') and resource ('body is valid JSON'), which clearly states what the tool does and matches its name. It does not explicitly distinguish validate-json from the listed sibling tools, so it falls short of a 5.

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

Usage Guidelines3/5

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

The sentence effectively states the tool's use case: validate whether some JSON text is well-formed. It gives no when-not-to-use guidance and names no alternatives among the sibling tools, so guidance is only implied.

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

C2.2/5.0
Disambiguation3/5

Several tools cluster around related concerns: citation and normalize-url both work with URLs, and timezone/utc-time/iso-ordinal all deal with time. Descriptions are usually enough to tell them apart, but 'compatibility' is vague and could easily be confused with status-catalog or citation.

Naming Consistency2/5

Names mix noun phrases like timezone and status-catalog with verb-object names like inspect-robots, normalize-url, and validate-json. The hyphenated lowercase style is consistent, but there is no predictable verb_noun pattern across the set.

Tool Count3/5

11 tools is not an unreasonable number for a general utility server, but the set feels like a kitchen-sink collection rather than a focused toolkit. Given the server name 'ISO ordinal day', most of the tools are outside the apparent purpose.

Completeness2/5

There is no single coherent domain to assess, and each area is only thinly covered: URL tools lack encoding/decoding, time tools lack conversions between formats, and JSON support stops at validation. This makes the surface feel incomplete for almost any intended workflow.