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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

B3.3/5.0
Behavior3/5

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

With no annotations provided, the disclosure that 'The body is discarded' adds a useful behavioral fact: the input is not retained. But the description does not explain what the tool returns, whether invalid JSON throws or returns an error, or whether any other side effects occur, so it does not fully carry the transparency burden.

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 two short sentences with no filler, and the primary purpose is front-loaded. It loses one point because its brevity leaves the term 'body' undefined and does not connect it to the input schema.

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?

The description is too thin for a tool with 9 optional parameters, no annotations, and no output schema. It neither identifies which parameter supplies the JSON nor describes what the caller receives, leaving an agent likely to pass the wrong parameter or misinterpret the result.

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 description coverage is 100%, so the baseline is 3 even though the description itself adds no parameter-level detail. The description's 'body' does not map cleanly to the 'json' property, but the schema already tells an agent that 'json' is the JSON text to validate.

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 gives a specific verb ('check'), a resource ('a body'), and a criterion ('valid JSON'), so the core purpose is identifiable and distinct from the surrounding URL, browser, and domain-shape sibling tools. It stops short of 5 because 'body' is not a property in the input schema, which creates ambiguity about what exactly is being validated.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The first sentence implies the tool should be used when JSON validity needs to be checked, which is minimal but usable guidance. However, it does not state when not to use it or name an alternative tool, so the guidance remains implicit rather than explicit.

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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