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America/Argentina/Buenos_Aires clock

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

B3.4/5.0
Behavior3/5

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

No annotations are supplied, so the description carries the transparency burden. It discloses the important side effect that the body is discarded. However, it does not state the return behavior (e.g., boolean result versus error) or the effect of invalid JSON, which an agent would need to know to use the result.

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 two short sentences, with the core purpose first and the side-effect warning second. Every word earns its place, and there is no redundant boilerplate.

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?

The tool has no output schema and no annotations, so the description should provide enough context for correct invocation and result interpretation. It does not define what is returned, how invalid JSON is reported, or how the 'body' is supplied among the seven parameters. For an agent selecting among many shape-check siblings, this is a meaningful completeness gap.

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?

Every parameter already has a one-line schema description, and the tool description adds little beyond calling the primary input a 'body.' The json and path parameters are self-explanatory from the schema, so the description does not need to compensate. The unrelated-looking parameters (ref, url, city, feed, host) are individually described but still may confuse because the tool description does not relate them to 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 states a clear action and object: 'Check whether a body is valid JSON.' The intent is easy to grasp and the name agrees. It does not explicitly contrast with sibling validation tools such as domain-shape or file-path-ok, so it falls short of full differentiation.

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 purpose implies when to use the tool: whenever an agent needs to decide whether some body is valid JSON. The warning 'The body is discarded' adds a negative usage condition, but there is no mention of alternatives or when not to use it beyond that side effect.

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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