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Asia/Barnaul 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

C2.7/5.0
Behavior2/5

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

The description discloses that the body is discarded, which is a behavioral detail, but it fails to specify the return value or any side effects. Without an output schema or mention of a boolean or result object, the agent cannot predict what the tool will return, limiting behavioral transparency.

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

Conciseness4/5

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

The description is very concise, consisting of two short sentences with no unnecessary details. The structure is straightforward, placing the main action first and the extra behavioral note second, making it easy to parse.

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?

The tool is simple, but the description lacks essential context: it does not mention what constitutes valid JSON, how the 'json' parameter should be passed, or what the tool returns. The presence of many unrelated parameters in the schema further compounds the incompleteness, leaving the agent without sufficient information to select and invoke the tool confidently.

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 description adds little to the parameter schema by referring to a 'body' that does not correspond to any parameter name. The schema provides descriptions for all 9 parameters, but most are irrelevant to JSON validation (e.g., 'ref', 'url', 'city'), and the description does not clarify that the 'json' parameter is the intended input. This creates confusion rather than resolving it.

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 clearly states the action ('Check whether') and the resource ('a body is valid JSON'), which immediately conveys the tool's core function. However, the term 'body' is ambiguous and does not map directly to any parameter name, leaving slight uncertainty about what input is being validated.

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 explicit guidance on when to use this tool versus alternatives. The description does not mention any conditions, prerequisites, or scenarios where this validation is appropriate, nor does it differentiate it from sibling tools with similar purposes.

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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