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ISO country FR

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

C2.3/5.0
Behavior2/5

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

With no annotations, the description must carry transparency. It only mentions that the body is discarded, but it does not describe return values, error behavior, or side effects beyond discarding.

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 one concise sentence and front-loads the primary purpose. It is efficient, though it omits important operational details.

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 does not explain why url, host, and zone parameters are present, what the tool returns, or how to interpret validation results. This is insufficient for reliable invocation.

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?

Most parameter descriptions are generic or copied from unrelated domains (url references normalization/citation, host is just 'Public hostname', zone is 'IANA timezone name'). Only 'json' is clearly relevant, and even that is not fully explained in the context of the tool.

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 states a clear action and resource: checking whether a body is valid JSON. However, 'body' is not explicitly tied to the 'json' parameter, which introduces slight ambiguity.

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 provided about when to use this tool versus alternatives such as normalize-url or status-catalog, and no context is given for when validation is appropriate.

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

C2.4/5.0
Disambiguation5/5

Each tool performs a distinct function: country lookup, URL inspection, robots.txt parsing, timezone conversion, and JSON validation. Even URL-related tools are clearly separated by their outputs and actions, so there is no meaningful overlap.

Naming Consistency3/5

Names are mostly lowercase with hyphens, but the grammatical pattern is inconsistent: some are verb-first (inspect-robots, normalize-url, validate-json), some are noun phrases (citation, compatibility, timezone), and one is an opaque abbreviation (cc-fr). A consistent verb-noun or noun-only convention would improve predictability.

Tool Count4/5

Eleven tools is a reasonable number and stays within the typical well-scoped range. The tools cover several distinct utility areas, though the server's stated identity as 'ISO country FR' does not fully explain the broad collection.

Completeness3/5

The tool set appears to cover a handful of common web-development utilities, but the domain is not strongly defined. It lacks obvious related operations such as URL encoding/decoding, DNS lookup, or broader country data, so coverage feels partial rather than comprehensive.