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Asia/Thimphu 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

C2.7/5.0
Behavior3/5

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

The description and parameter notes do disclose that the body is 'discarded' after the check and that 'no disk access' occurs, which gives some transparency given no annotations are present. However, it does not explain the tool's output, failure modes, or any side effects, leaving the agent guessing about the return contract.

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 main description is a single front-loaded sentence with a follow-up transparency note, making it easy to scan. The parameter descriptions, however, are cluttered with irrelevant domain hints that dilute the signal, so the overall structure earns a slight deduction.

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?

With nine input parameters and no output schema, the description leaves major gaps: it never explains what 'valid JSON' means operationally, what the tool returns (boolean, error message, or something else), or why unrelated parameters are present. An agent cannot reliably invoke this tool based on the current description alone.

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?

While the schema has 100% description coverage, the parameter descriptions are misleading: eight of nine parameters reference unrelated domains (weather hints, timezone names, RSS feeds, git refs) that do not fit a JSON validation tool. The 'json' parameter is appropriately described, but the noise from the other descriptions actively undermines the agent's ability to choose which parameter to populate.

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 and resource — 'Check whether a body is valid JSON' — but the term 'body' is ambiguous and doesn't explicitly map to any of the nine input parameters. It distinguishes validate-json from siblings like fetch-status or web-fetch, but the lack of a connection between 'body' and the schema leaves the core purpose unclear.

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 provides no guidance on when to use validate-json versus sibling tools such as search-query-len, fetch-status, or web-fetch. There is no mention of prerequisites, typical use cases, or situations where an alternative would be preferable.

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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