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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

C2.9/5.0
Behavior2/5

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 reveal that the body is discarded, a useful non-retention trait. However, it does not explain the return value on success/failure, whether invalid JSON produces an error, or any other side effects, which are critical for a validation tool.

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 sentences with no filler; both the purpose and the discarding behavior serve a role. It is front-loaded with the core purpose. The brevity is near under-specification, but as a conciseness measure it is efficient.

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 a seven-parameter schema and no output schema, the description is too sparse. It does not identify which parameter carries the JSON text, what the tool returns, or how invalid JSON is reported. An agent cannot correctly invoke the tool from the description alone and must derive the primary 'json' field from the schema.

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 input schema covers all seven parameters with descriptions (100% coverage), including 'JSON text to validate; discarded after the check'. The description adds no parameter-specific meaning and fails to connect 'body' to any schema property, so it provides no value beyond the schema. Baseline 3 is appropriate.

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 clear action ('Check whether') and resource ('a body is valid JSON'), aligning with the tool name validate-json. It distinguishes JSON validation from sibling shape-validators like domain-shape and file-path-ok, though it does not mention counterparts. The term 'body' is ambiguous and does not directly map to the 'json' parameter, which slightly weakens 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 sibling validators such as domain-shape, normalize-url, or wiki-title-ok. It does not mention scenarios, exclusions, or alternatives. An agent must rely on the name alone to understand the intended comparison.

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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