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Asia/Bahrain 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 is vague about the tool's behavior. It says the body is discarded, but does not clarify what is returned (e.g., boolean, error, status). It also fails to explain how the numerous extraneous parameters relate to validation, creating confusion about actual execution. No annotations are present to supplement this.

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 brief, consisting of two short sentences. It wastes no words, but the brevity sacrifices critical information. It is concise but not necessarily well-structured for comprehension, as it omits necessary details about inputs and outputs.

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 the tool's potential complexity indicated by the nine parameters, the description is severely incomplete. It does not explain success/error behavior, return type, or how the parameters are used. The lack of output schema and annotations further limits the context, leaving agents with insufficient information to use the 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?

The description mentions 'body' and 'json', but the schema lists nine parameters, most of which have descriptions unrelated to JSON validation (e.g., ref, url, city). The mismatch between the description's term 'body' and the schema's 'json' parameter is unexplained, and the purpose of the other parameters is not clarified. Parameter semantics are thus poorly aligned with the tool's stated function.

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 tool checks whether a body is valid JSON, using a specific verb and resource. However, it does not differentiate it from sibling tools that also perform validation or checks, and the name 'validate-json' already implies the purpose, so the description adds only moderate 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. It does not mention any preconditions, typical scenarios, or situations where it would be preferred over other tools. Given the large sibling set, this lack of usage direction leaves agents uncertain about applicability.

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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