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Hanzet22
by Hanzet22

cloudflare_coverage_ledger_validate

Validate a canonical coverage-ledger.json document with Cloudflare Security Audit Skill's upstream validator to confirm ledger structure and coverage data before audit planning.

Instructions

Validate a canonical coverage-ledger.json document with Cloudflare Security Audit Skill's upstream validator.

Input Schema

NameRequiredDescriptionDefault
ledgerYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.3.0

TDQS

C2.7/5.0
Behavior2/5

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

No annotations are supplied, so the description carries the full behavioral burden. It does not say whether validation is read-only, whether it returns a pass/fail verdict, what error shape is produced on invalid input, whether partial ledgers are tolerated, or whether it has side effects on the referenced document — all 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?

One front-loaded sentence with no filler or redundancy. It is efficient, though its brevity is part of why semantics are missing elsewhere rather than a virtue in itself.

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 annotations, no output schema, 0% parameter documentation, and an unconstrained array payload, the description is the only source of information and it is insufficient. An agent needs to know the expected ledger element structure and the validation result format, neither of which is present.

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% and the single parameter is an untyped array with items: {} and maxItems: 10000, so the schema conveys almost nothing. The description says 'canonical coverage-ledger.json document' but never explains that the parameter must be an array, what element shape is expected, or which canonical fields are required — an agent cannot construct a valid call from this.

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 names a specific verb ('Validate') and resource ('canonical coverage-ledger.json document') plus the validator used ('Cloudflare Security Audit Skill's upstream validator'). It does not, however, distinguish itself from closely named siblings such as audit_coverage_validate, cloudflare_findings_validate, and audit_findings_validate, so an agent cannot tell from the text alone which validate tool to pick.

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?

There is no statement of when to use this tool versus the three sibling validate tools, no prerequisite (must the ledger already exist? be canonical-formatted?), and no mention of what to do when validation fails. The only implicit cue is the word 'upstream validator', which hints at ordering but gives no actionable routing.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.