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Port 993

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?

With no annotations, the description must disclose side effects and data handling. It mentions that the body is discarded, but says nothing about return values, error behavior, or whether any of the many schema parameters affect execution.

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 short, but it is not well-structured for the schema: it introduces a 'body' concept that never appears in the input schema and omits the parameter that should be validated. The one-sentence format is concise but sacrifices clarity.

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?

With nine unrequired parameters and no output schema, the description does not explain how the tool behaves. It does not specify which parameter is the JSON body, what the response looks like, or what 'discarded' means in terms of side effects, so an agent cannot confidently invoke it.

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?

The schema parameter descriptions are largely unrelated to JSON validation (url is 'to normalize or cite', city is a 'weather hint', zone is a timezone, query is a 'length check'). The description does not map 'body' to the json parameter, and the only relevant parameter description is buried among irrelevant ones.

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 says it checks whether a body is valid JSON, but the schema exposes a json parameter and nine unrelated parameters. The verb and resource are present, but the mismatch between 'body' and the schema makes the purpose ambiguous and does not clearly distinguish it from sibling validators.

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 about when to use this tool instead of siblings like browser-url-ok, fetch-status, or file-path-ok. The description only states what it checks and that the body is discarded, with no use-case or exclusion criteria.

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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