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validate-json

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

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
refNoGit ref name; discarded after the shape check
urlNoHTTPS URL to normalize or cite
cityNoCity name for a public weather hint; discarded after the call
feedNoPublic RSS or Atom URL; titles discarded
hostNoPublic hostname
jsonNoJSON text to validate; discarded after the check
pathNoFile path to check; no disk access
zoneNoIANA timezone name
queryNoSearch text; discarded after the length check

Schema Changelog

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

  1. First observed

TDQS

D1.6/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full burden. It states the body is discarded, implying no side effects, but does not explain the role of the other parameters or whether any of them influence the validation. The parameter descriptions ('discarded after the shape check' etc.) are inconsistent and unclear.

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

Conciseness2/5

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

The description is short but not effective. It omits critical details about the relationship between the description and the schema, and the schema itself contains redundant or irrelevant fields, adding noise without clarity.

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 tool is assessed as having moderate complexity (9 parameters, no output schema), but the description fails to explain which parameters are actually used, what the expected output is, or how the tool integrates with the surrounding toolset. This is severely incomplete for an agent to call correctly.

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 has 100% description coverage, the descriptions are completely irrelevant to JSON validation. For example, 'url' is described as 'HTTPS URL to normalize or cite', and 'city' as 'City name for a public weather hint'. No parameter description clarifies how to supply the JSON body, making the schema misleading.

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 verb and resource ('Check whether a body is valid JSON') but is vague about what constitutes the 'body' and how it maps to the input schema. The presence of nine unrelated parameters (ref, url, city, feed, etc.) further muddies the purpose.

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 any alternatives. The sibling tool list includes many other validators and fetchers, but the description does not differentiate this tool or indicate appropriate use cases.

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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