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Asia/Muscat 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

C2.2/5.0
Behavior2/5

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

No annotations are provided, so the description must fully convey behavior. It states the body is discarded, which is a useful side-effect disclosure. However, it does not disclose the return value (e.g., boolean or error), whether other parameters are ignored, or any side effects beyond discarding the body. This is insufficient for a tool with no annotation support.

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 only one short sentence, but this is under-specification rather than conciseness. It omits essential behavioral details that a tool with this many parameters and no annotations requires. Every word is spent on the core check, but there is no structural guidance for the parameter maze.

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?

Given the complexity (9 parameters, none required, no output schema, no annotations), the description is severely incomplete. It does not explain the purpose of the extraneous parameters, the expected output format, error behavior, or any usage scenario. An agent cannot reliably determine when or how to call this tool correctly.

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?

Schema coverage is 100%, so the baseline is 3, but the description adds no value beyond that. It introduces a 'body' concept not present in the schema, which could mislead an agent into looking for a 'body' parameter. The other eight parameters are unexplained in the description, leaving the agent to infer which ones are relevant to JSON validation.

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 clear purpose: 'Check whether a body is valid JSON.' This is a specific verb+resource, and it distinguishes from shape-check siblings by focusing on JSON validation rather than URL or key formats. However, the term 'body' is ambiguous relative to the actual parameter 'json', and it does not explicitly separate itself from other validation tools.

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 on when to use this tool versus alternatives. The description does not mention any context, prerequisites, or exclusions. With 9 unrelated parameters and no required ones, an agent has no idea why it should invoke this tool over a more specific validation tool.

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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