Skip to main content
Glama

Quoted-printable length, input discarded

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

D1.6/5.0
Behavior2/5

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

The description says the body is discarded and the path parameter says 'no disk access', but it does not clarify the overall side-effect profile beyond that. With no annotations, the description bears the full burden of disclosing behaviors; it fails to explain whether network, storage, or external systems are touched.

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 very short, but its brevity comes at the cost of clarity and completeness. It is front-loaded with a clear verb, yet the second sentence introduces the unexplained 'body' concept that conflicts with the provided parameters.

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?

There is no output schema, no mention of success or failure behavior, no required parameters, and no explanation of edge cases like malformed JSON. The tool is not sufficiently specified for an agent to call it confidently or interpret its result.

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?

Although schema coverage is 100%, most parameter descriptions are semantically unrelated to JSON validation (e.g., 'Git ref name', 'IANA timezone name', 'Search text'). Only the 'json' parameter directly relates to the stated purpose, so the parameter meanings are largely confusing or misleading.

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 a clear action ('Check whether a body is valid JSON'), but the input schema contains no 'body' parameter and instead lists many unrelated fields such as ref, url, city, zone, and query. This mismatch makes the actual purpose ambiguous.

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

Usage Guidelines1/5

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

No guidance is given for when to use this tool versus the many sibling validation tools like file-path-ok, browser-url-ok, domain-shape, or search-query-len. The description does not mention exclusions, prerequisites, or alternative selection criteria.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.