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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
Behavior3/5

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

With no annotations provided, the description carries the behavioral disclosure burden. It does disclose a meaningful data-handling trait: 'The body is discarded,' which tells agents the input is not retained. However, it says nothing about return values, error behavior, or what happens with invalid JSON, so transparency is only partial.

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?

Two short sentences with no filler. The core action is front-loaded, and the data-handling note follows immediately. It loses one point because the ambiguous 'body' could have been clarified with a parameter reference without adding length.

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 has seven parameters and no output schema or annotations, the description is drastically under-specified. It fails to explain which parameter holds the JSON, why the other parameters are present, what the caller should expect in the response, or how to handle validation failure. An agent would have to rely heavily on assumption to invoke this 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 schema descriptions cover each property individually, but the main description introduces 'body' without linking it to the 'json' parameter, creating ambiguity. The schema also lists parameters like 'city' and 'feed' that have no obvious connection to JSON validation, and the description does nothing to resolve why they exist or how they relate to the check. Thus the description adds no semantic clarity beyond the schema and actually contributes confusion.

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 description states a clear verb ('Check') and resource ('a body is valid JSON'), which distinguishes it from URL/path validators. However, the term 'body' is never mapped to a schema parameter, and the schema lists seven unrelated-looking parameters (ref, url, city, feed, host, path) that muddy what exactly is being validated. This is more than a tautology but less than a precise statement of scope.

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 any sibling validator, nor any mention of prerequisites or common use cases. The description simply states what it does without situating it among alternatives like browser-url-ok or file-path-ok. An agent must infer when JSON validation is the appropriate sibling to select.

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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