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Pacific/Guam 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

B3.1/5.0
Behavior3/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It does disclose the key trait — 'The body is discarded' — which tells the agent the inputs are not used. However, it omits the return behavior (no output schema) and does not explain what happens with zero arguments, which is a meaningful gap given there are no annotations to fall back on.

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 the purpose front-loaded and zero filler words. It is efficient and readable. It borders on under-specification, but as a concise statement of purpose it is appropriately sized.

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 tool has 9 parameters, no annotations, and no output schema — a moderately complex surface that the description does not address. It leaves unexplained what the tool returns, how the many unrelated parameters (city, zone, host, feed) relate to JSON validation, and what 'valid' means. For a 9-parameter tool with no structured fallback, this is incomplete.

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%, so the schema already documents all 9 parameters, which sets a baseline of 3. The description adds nothing about parameters beyond the blanket 'body is discarded' note and does not clarify which parameter is 'the body' (presumably 'json'). It does not compensate or enrich the schema's per-parameter meaning.

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 states a specific verb and resource ('Check whether a body is valid JSON'), which is clear and not a tautology. It fits the sibling family of shape-check tools (domain-shape, jira-key-shape). However, there is ambiguity: the schema has no 'body' parameter (only 'json'), and with 0 required parameters it is unclear what object is being validated, which slightly undermines the clarity.

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 offers no guidance on when to use this tool versus its many shape-check siblings (domain-shape, jira-key-shape, github-repo-shape, figma-url-shape, wiki-title-ok). It neither names alternatives nor states the conditions that select this tool. An agent must infer its niche from the name alone.

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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