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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

D1.8/5.0
Behavior2/5

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

With no annotations, the description carries the full burden of behavioral disclosure. It only states 'The body is discarded,' which is ambiguous because 'body' isn't a schema parameter. It does not mention whether the tool returns a boolean, throws an error, or how it treats the other eight parameters. This is insufficient for an agent to predict tool behavior.

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 only two sentences, which is concise but severely under-specified. It lacks essential information such as which parameter to use and the return format. The brevity is not an asset because it omits critical operational details; it feels truncated rather than efficiently front-loaded.

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?

For a tool with nine parameters and no output schema, the description is drastically incomplete. It doesn't explain the purpose of the other parameters, what the tool returns, or how it should be invoked. An agent has no way to construct a correct call based on this description alone, making it inadequate for the tool's complexity.

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?

Despite 100% schema description coverage, the description adds no parameter meaning and actually introduces confusion by referring to a nonexistent 'body'. It does not mention that 'json' is the parameter to validate, nor clarify whether the other parameters are relevant or ignored. This actively misleads rather than aiding parameter selection.

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 the tool checks JSON validity, but uses 'body' which is not a parameter name in the schema. It doesn't specify which parameter holds the JSON text, and it doesn't differentiate from sibling validation tools like 'domain-shape' or 'file-path-ok'. The verb 'Check' and resource 'JSON' are present, but the ambiguity about the input undermines clarity.

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?

There is no guidance on when to use this tool versus alternatives. It doesn't say 'use this when you need to validate a JSON string' or mention any constraints like requiring a specific parameter. The absence of context leaves an agent uncertain whether this is the right tool for a given JSON validation task.

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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