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Europe/Andorra 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
Behavior2/5

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

No annotations are provided, so the description carries the full burden. It discloses that the body is discarded, implying a non-mutating operation, but it doesn't clarify what happens to the other eight parameters (url, city, feed, etc.) or whether any network/disk access occurs. The return value is also unspecified. This is a significant gap 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.

Conciseness5/5

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

The description is a single, direct sentence with no filler. It front-loads the purpose ('Check whether a body is valid JSON') and includes the key behavioral note about discarding. This is appropriately concise.

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?

For a tool with 9 optional parameters and no output schema, the description is incomplete. It doesn't specify what happens to the extra parameters, what the successful/failed response looks like, or any usage examples. An agent cannot fully understand the tool's behavior or how to invoke it correctly beyond guessing.

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 schema provides 100% coverage with individual descriptions for all parameters, so the baseline is 3. However, the description adds no value by failing to connect the 'body' to the 'json' parameter and ignoring the other parameters entirely. It doesn't explain why they exist or how they relate to JSON validation, leaving agents to guess.

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 verb ('Check') and resource ('body valid JSON'), and explicitly says the body is discarded. It distinguishes from siblings like domain-shape or jira-key-shape because it targets JSON validation, though it doesn't name a specific alternative. The term 'body' is slightly ambiguous and doesn't map directly to the 'json' parameter.

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?

No explicit guidance on when to use this tool vs alternatives, nor any exclusions. It's implied that you'd use it to validate JSON, but there is no mention of when not to use it or how it differs from other shape-check tools. The presence of many unrelated parameters adds confusion about its intended scope.

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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