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schema-drift-guard-nMF_Hg

Checks JSON records for missing required fields and field-type drift. Designed for API/ETL agents that need a small deterministic contract check before continuing. [PAID: $0.04 USDC per call via x402]

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
recordsYes
required_fieldsNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

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. It does disclose genuinely useful behavioral traits: the check is deterministic, lightweight, and paid at $0.04 USDC per call via x402. But it never states what the tool returns (violation list? boolean? errors?), nor whether it is purely read-only, which are important for a validation call.

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?

Three short sentences with the core purpose front-loaded and no wasted prose. The pricing tag is compact and clearly bracketed. The middle 'Designed for...' sentence is somewhat general but earns its place as usage context.

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 should explain what a call returns and how drift/missing-field findings are surfaced, but it does not. Combined with 0% parameter description coverage, an agent cannot confidently predict the response shape for a validation tool.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must compensate for both parameters. It partially implies what 'required_fields' does via 'missing required fields', but gives no syntax, format, or nested-path guidance for either 'records' or 'required_fields', and says nothing about type-drift detection inputs. This leaves the low-coverage schema under-supported.

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?

States a specific verb and resource: 'Checks JSON records for missing required fields and field-type drift.' This is concrete and distinguishable from the quality-gate siblings, which cover broader quality rather than schema contract checking. However, it offers no differentiation from the near-identical sibling 'schema-drift-guard-ec6XlA', which an agent would need to disambiguate between.

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?

'Designed for API/ETL agents that need a small deterministic contract check before continuing' implies the usage context (pre-flight validation in a pipeline). But it names no explicit alternatives, no when-not conditions, and nothing that tells the agent how to choose it over json-quality-gate or the duplicate schema-drift-guard-ec6XlA.

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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