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Australia/Hobart 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

B3.2/5.0
Behavior3/5

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

No annotations are present, so the description carries the behavioral burden. It usefully discloses that the body is discarded, which implies no persistence or side effects, but it does not state what is returned for valid versus invalid JSON, whether it throws, or how errors are surfaced.

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?

Two short sentences with no filler. The core operation is front-loaded, and the discard behavior earns its own sentence because it is a useful side-effect disclosure.

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 seven optional parameters, no annotations, and no output schema, the description is too thin. It never states the return format, never maps 'body' to the 'json' parameter, and never explains whether other parameters are ignored or relevant, leaving an agent under-equipped to call the tool correctly.

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?

The schema provides descriptions for all seven properties, so schema coverage is high and the baseline is 3. The tool description adds no parameter-level meaning and does not clarify why non-json parameters like 'ref', 'city', or 'host' appear in a JSON validator, but the 'json' parameter itself is clearly documented in the schema.

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 names a specific action ('check') and a specific resource ('a body' / JSON), so the basic purpose is clear. It does not explicitly differentiate itself from sibling validation tools, but 'valid JSON' is unambiguous enough that an agent can tell this tool from URL/file/shape validators.

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?

The description gives no guidance about when to prefer this tool over alternatives, what inputs are appropriate, or what conditions make it the right choice. No exclusions or sibling references are provided, so an agent must infer usage purely from the name and one-line action.

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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