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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

B3.2/5.0
Behavior3/5

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

There are no annotations, so the description carries the disclosure burden. It does add one useful behavioral fact: the body is discarded, implying no persistence or side effects. However, it does not say what happens for invalid JSON (return boolean, throw, or exit with error), nor mention any other side-effect boundaries.

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?

Two short sentences with no filler, front-loading the core action before the discard note. Every word earns its place and no redundant restatement of the tool name appears.

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?

With no annotations and no output schema, a validator needs at least the result contract and the input mapping to be callable. The description provides neither, and the schema's many seemingly unrelated fields (ref, url, city, feed, host, path) make the intended call shape unclear.

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?

The input schema already describes every parameter, so the baseline is 3; the description adds no parameter-level meaning. It also fails to map the word 'body' to the json parameter, leaving the relationship between the description and the seven schema properties implicit.

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 names a specific verb ('Check') and resource (a JSON body), so an agent can tell it validates JSON rather than URL paths or file paths. It does not explicitly name sibling tools, but 'valid JSON' separates it from the other shape/ok validators. The term 'body' is slightly ambiguous, since the schema exposes a 'json' property rather than '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?

No guidance is given about when to prefer this tool over siblings such as domain-shape, file-path-ok, or wiki-title-ok. The only implied usage is from the tool name and first sentence, so an agent has to infer the decision rule itself.

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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