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by io.github.sadri-dridi
OverviewAdmin

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. Changed5 schema fields changed
    • addedInput schema / properties / city
      Added value: +{
+  "description": "City name for a public weather hint; discarded after the call",
+  "type": "string"
+}
    • addedInput schema / properties / feed
      Added value: +{
+  "description": "Public RSS or Atom URL; titles discarded",
+  "type": "string"
+}
    • addedInput schema / properties / path
      Added value: +{
+  "description": "File path to check; no disk access",
+  "type": "string"
+}
    • addedInput schema / properties / query
      Added value: +{
+  "description": "Search text; discarded after the length check",
+  "type": "string"
+}
    • addedInput schema / properties / ref
      Added value: +{
+  "description": "Git ref name; discarded after the shape check",
+  "type": "string"
+}
  2. First observed

TDQS

D1.6/5.0
Behavior1/5

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

No annotations exist, and the description offers minimal behavioral detail. It states 'the body is discarded' but does not explain side effects on other parameters, network activity, or read-only guarantees.

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 very short and does not waste words, but it lacks structure and fails to convey essential information. It is concise in length but not in effective communication.

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?

The description is fundamentally incomplete. It does not explain how the parameters relate to JSON validation, what the return value is, or any edge cases. No output schema is provided.

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?

While each parameter has a schema description, three of the four (url, host, zone) have descriptions that are irrelevant to JSON validation and appear copied from other tools, actively misleading rather than clarifying.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The core purpose is clear: checking whether a JSON body is valid. However, the presence of unrelated parameters (url, host, zone) obscures the actual scope and makes the purpose ambiguous.

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 provided on when to use this tool versus any alternatives. The description is a single sentence with no context about use cases or selection 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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