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Europe/Podgorica 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

C2.5/5.0
Behavior2/5

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

No annotations are provided, so the description must carry the full burden. It discloses that the body is discarded, which is useful, but it omits other behaviors. The presence of many seemingly unrelated parameters (url, city, feed, etc.) is unexplained, and there's no mention of output format, side effects, or whether network calls occur. This is a significant transparency gap.

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 extremely concise—two short sentences with no fluff. It front-loads the primary action and the disposal behavior. However, it may be too terse given the tool's complexity, but it avoids redundancy.

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?

With 9 parameters, no output schema, and no annotations, the description is woefully incomplete. It doesn't explain which parameter holds the JSON, what the return value is (e.g., boolean or error), or why unrelated parameters (url, city, feed, etc.) exist. An agent cannot reliably invoke this tool without further inference. This is a critical gap.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%—each parameter has a description. The tool description adds no parameter meaning beyond the schema; it doesn't clarify which parameter is the 'body' or how parameters relate. Baseline is 3 for high coverage, and the description does not add value.

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 action ('Check whether a body is valid JSON') and resource ('body' as JSON), but the term 'body' is ambiguous—none of the 9 schema parameters is named 'body'. The closest is 'json', but the description doesn't reference it. This ambiguity reduces clarity, though the core purpose is understandable.

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 guidance on when to use this tool versus alternatives. Sibling tools like browser-url-ok, fetch-status, and calc-eval are distinct, but the description doesn't mention conditions for choosing validate-json. There's no mention of prerequisites, use cases, or exclusions.

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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