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America/Whitehorse 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

B3.1/5.0
Behavior3/5

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

With no annotations, the description carries the behavioral burden; it does disclose a key side effect ('body is discarded'), implying no persistence. However, it does not mention the return value or outcome for invalid JSON, nor any other behavior such as error handling or side effects.

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?

Two short sentences, front-loaded with the action and a meaningful safety detail; no filler. The wording could be improved by using 'JSON text' or naming the parameter instead of the vague 'body'.

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?

Despite a detailed schema, no output schema is provided and the description does not describe the result shape (true/false, error message, status). It also leaves unexplained the purpose of the unrelated fields (ref, url, city, feed, host, path), making the tool difficult to invoke correctly.

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 schema property has a description, so schema coverage is high and the description need not re-document fields. The description's use of 'body' adds only ambiguity rather than semantic value because it does not name the 'json' parameter.

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 uses a concrete verb ('Check whether') with a resource ('a body') and the target condition ('valid JSON'), which makes the tool's main function clear and distinguishes it from sibling URL/browser/git validators. It loses one point because 'body' is never mapped to the schema's 'json' parameter, leaving mild ambiguity about what input is validated.

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?

No when-to-use guidance or alternatives are given. The name implies JSON-validation use, but neither the description nor the tool text says when to choose validate-json over the many sibling validation tools or what prerequisites apply.

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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