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json-schema-validate

JSON Schema Validate: validate a JSON value against a deterministic schema subset for agent payload checking and structured-output verification. Supports type, properties, required, enum, const, numeric/string/array bounds, pattern, items and additionalProperties=false. Returns machine-readable error paths plus retry guidance. Costs $0.001 USDC on Base via x402.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
valueNo
schemaYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.9/5.0
Behavior4/5

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

With no annotations, the description carries the full burden and does well: it discloses determinism, the limited supported keyword subset, the return shape (machine-readable error paths plus retry guidance), and the payment requirement ($0.001 USDC on Base via x402). It stops short of stating auth/rate-limit behavior or exact failure modes, so it is strong but not exhaustive.

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?

Front-loaded with the core action, followed by supported keywords, return behavior, and cost — each sentence earns its place. The keyword list is dense but functional; nothing is padded.

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?

With no output schema and 0% parameter coverage, the description supplies the missing return information (error paths and retry guidance) and the payment/cost context, which is the key non-obvious fact for this tool. Only the exact semantics of the two parameters remain under-specified, a minor gap.

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 0% and neither 'value' nor 'schema' is documented in the schema. The description partly compensates by enumerating the supported schema keywords (type, properties, required, enum, const, bounds, pattern, items, additionalProperties=false), which is real information about the schema parameter, but it never clarifies the 'value' parameter's role or the value/schema pairing explicitly.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb and resource (validate a JSON value against a schema) and scopes it precisely ('deterministic schema subset for agent payload checking and structured-output verification'). This clearly distinguishes it from siblings like json-repair, json-canonicalize, and json-schema tools in the same family.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

It gives implied usage contexts ('agent payload checking', 'structured-output verification') that tell an agent when this tool fits, but it never names an alternative (e.g. json-repair for malformed JSON) or states when not to use it. Adequate but not explicit routing guidance.

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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