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Instant JSON schema verifier

instant_json_schema_verifier
Read-onlyIdempotent

Validate JSON data payloads against schema definitions. Preflighted for agent tool call pipelines.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataYesThe JSON data object to validate against the schema.
schemaYesThe JSON schema object with expected properties and types.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
validYes
errorsYes
execution_msYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.1/5.0
Behavior2/5

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

Annotations already declare readOnlyHint, idempotentHint, and openWorldHint, so safety and determinism are covered structurally. The description adds almost nothing beyond that: "Preflighted for agent tool call pipelines" is a positioning claim, not behavioral detail, and it says nothing about failure behavior, error granularity, or whether validation stops at first error.

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 core action front-loaded. The second sentence is vaguer marketing-flavored padding, but the total length is minimal and nothing is buried.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

An output schema exists, so return values need not be explained, and both required parameters are fully described in the schema with an example. What remains missing is usage routing against the similar batch_validate sibling, which a definition this simple could reasonably have included.

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% and both parameters are documented with clear descriptions plus a worked example, so the schema carries the burden. The description adds no syntax, format, or dialect guidance (e.g., which JSON Schema draft) beyond restating that data is checked against 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 specific verb+resource: "Validate JSON data payloads against schema definitions." That is unambiguous and an agent can immediately tell what it does. It does not differentiate from the sibling batch_validate, which appears to be the closest alternative, so it falls short of a 5.

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?

"Preflighted for agent tool call pipelines" gestures at a usage context but never states when to call this versus batch_validate or why a pipeline should preflight with it. There are no exclusions and no named alternative, so the guidance is essentially absent beyond a slogan.

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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