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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

C2.4/5.0
Behavior2/5

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

The description discloses that the body is discarded, which is a useful side-effect note, but it does not describe return values, error behavior, or whether validation is strict/lenient. With no annotations provided, critical behavioral information is missing.

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, direct, and front-loaded: it immediately states the action and the disposal behavior. It contains no filler or redundant wording, though it could be slightly more explicit about inputs/outputs.

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?

Given that there is no output schema and no required parameters, the description is not complete enough for an agent to reliably use the tool. It does not specify what a successful or failed validation looks like, nor how to pass the JSON body given the broad set of optional parameters.

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?

Although every parameter has a schema description and the 'json' parameter is relevant ('JSON text to validate'), most other parameters are unrelated to validating JSON, and their descriptions (e.g., 'Git ref name; discarded after the shape check') do not clarify how they relate to the tool's purpose. This makes parameter usage confusing.

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

Purpose3/5

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

The description states that the tool checks whether a body is valid JSON and that the body is discarded, which conveys a clear core purpose. However, 'body' is ambiguous and the input schema contains many unrelated parameters (ref, url, city, feed, host, path, zone, query), so an agent cannot determine what input actually represents the JSON body.

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

Usage Guidelines2/5

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

The description implies a validation use case but does not explain when to choose this tool over sibling validation tools, how the JSON body should be supplied, or what the expected output is. There is no guidance on alternatives or conditions under which this tool should or should not be used.

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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