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YanaShuvaieva

WordPress MCP Custom Server

validation.w3c.validate_and_recheck.v1

Validate raw HTML pages against W3C standards by running a baseline check followed by a recheck, comparing results to confirm errors are resolved and compliance is achieved.

Instructions

Run baseline and after validation for provided raw HTML pages.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
levelNoerror
after_pagesYes
baseline_pagesYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

No annotations are provided, so the description carries full burden for behavioral disclosure. It does not state what happens to inputs (destroyed?), whether it makes network calls to validate against a service, rate limits, expected output format, or side effects. It adds no meaningful behavioral detail beyond the stated action.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single concise sentence with no waste. However, it is under-specified — efficiency is high but at the cost of omitting needed information. For a one-line description with zero supplementary detail, it cannot earn a higher score for structure as it does nothing beyond the bare minimum.

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?

Despite having an output schema (which offloads return-value documentation) and the tool's complexity (3 params, baseline/after comparison concept, level selection, raw HTML handling), the description provides almost no guidance. It does not explain the baseline/after comparison semantics, processing steps, expected inputs, or how results relate to sibling validate tools. Notably under-specified for the conceptual complexity implied.

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 explaining the three parameters. It does not explain what baseline_pages vs after_pages means (beyond their names), how level ('error' vs 'warning') affects output, or what the url field is for. The names are somewhat self-explanatory but the description adds no semantic guidance beyond the parameter names.

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

Purpose3/5

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

The description 'Run baseline and after validation for provided raw HTML pages' has a specific verb (validate) and states the resource type (raw HTML pages). However, 'baseline and after validation' is a niche concept not explained, and it resembles sibling tools w3c.validate_pages.v1 (and its python alias) that likely also validate HTML. The purpose is moderately clear but lacks distinguishing detail against those siblings.

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?

No when-to-use guidance is given. The description does not explain what 'baseline and after' means, when this tool is preferred over validate_urls_raw or validate_pages siblings, nor what scenarios warrant running both baseline and after validation. There are no exclusions or alternatives named.

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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