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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?

The only disclosed behavior is that the body is discarded, which adds a minor privacy guarantee. But it does not state what the tool returns (boolean? error?), whether it performs full syntax validation or schema validation, or how the many unrelated schema fields are treated. With no annotations to fall back on, this is insufficient.

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?

One short sentence with no redundant words, and the core action is front-loaded. It could be improved by naming the parameter, but it is appropriately concise for such a simple tool.

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 no output schema and no annotations, the description must explain the result and side effects. It only says the body is discarded, leaving the invocation contract and the role of the other seven parameters unexplained. This is a meaningful completeness gap for correct invocation.

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 already documents each parameter with descriptions, so schema coverage is complete. The description's 'body' is not directly tied to the `json` parameter, so it doesn't resolve which field to use. It neither clarifies nor harms, so a 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 specific action — checking whether a body is valid JSON — which clearly distinguishes it from sibling shape-checkers like `domain-shape` or `file-path-ok`. However, the term 'body' is ambiguous and not explicitly mapped to the `json` parameter, preventing a perfect score.

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?

Gives no guidance on when to prefer this tool over alternatives, nor any exclusions. The description doesn't mention that this tool is specifically for JSON syntax validation or that other shape-checkers exist, leaving an agent to infer its usage solely from the tool name.

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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