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America/Kentucky/Louisville 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

C2.8/5.0
Behavior3/5

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 does state 'The body is discarded,' which conveys that the input is not retained—a meaningful privacy-relevant trait. However, it does not disclose the return value, failure behavior, or whether any external call is made, so transparency is partial.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single short sentence—concise and front-loaded with the primary purpose. However, it is so sparse that it omits essential guidance about which parameter to populate. It saves words but at the cost of usefulness.

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 7 loosely related parameters, no required field, and no output schema, the description is insufficient. The agent cannot determine which parameter is the JSON to validate, nor what result to expect (e.g., boolean, error, or status). The description only adds the discard behavior, leaving critical invocation details unstated.

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?

The input schema has descriptions for all 7 parameters, so the schema itself provides high coverage (baseline 3). But the description's phrase 'a body' does not map to any defined parameter. The schema's 'json' parameter is the actual JSON text to validate, and the description fails to direct the agent to it, potentially causing invocation errors.

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 states a specific verb and resource: 'Check whether a body is valid JSON.' This clearly identifies the tool's purpose and distinguishes it from sibling validators like github-repo-shape or wiki-title-ok. The only ambiguity is the reference to 'a body' rather than naming the 'json' parameter, which slightly reduces 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, nor any exclusions or prerequisites. The description merely states what it does, leaving the agent to infer appropriate usage from the tool name and context. No sibling tool is referenced or compared.

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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