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Generate validation report

generate_validation_report
Read-onlyIdempotent

Use this when HTML markup is already supplied. Combines Nu HTML validation with local CSS, SEO, accessibility-signal, and JSON-LD syntax checks. It does not fetch a webpage from base_url; use audit_public_webpage for a live URL.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
cssNoOptional raw CSS source. Linked stylesheets are not fetched.
htmlYesRaw HTML markup supplied by the user; this is not a webpage URL.
base_urlNoOnly resolves relative links when check_links is true; it does not fetch this webpage.
max_linksNoMaximum links to check, from 1 to 20.
check_linksNoWhether to contact eligible public links found in the supplied HTML.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
errorNo
linksYes
overviewYes
html_infoYes
redirectsYes
css_errorsYes
seo_issuesYes
css_checkedYes
html_errorsYes
broken_linksYes
css_messagesYes
seo_findingsYes
failed_checksYes
healthy_linksYes
html_messagesYes
html_warningsYes
links_checkedYes
schema_issuesYes
seo_truncatedYes
html_truncatedYes
links_requestedYes
schema_findingsYes
schema_truncatedYes
unreachable_linksYes
html_total_messagesYes
schema_blocks_checkedYes

TDQS

A4.5/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, openWorldHint, idempotentHint, and non-destructive behavior. The description adds useful behavioral specifics: it combines Nu HTML validation with CSS, SEO, accessibility, and JSON-LD checks, and clarifies that base_url only resolves links without fetching. This adds context beyond the annotations, though it does not discuss potential rate limits or authentication, which are not covered by annotations.

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

Conciseness5/5

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

Three sentences with no filler. The first sentence establishes usage context, the second summarizes the tool's functionality, and the third provides a critical limitation and sibling alternative. Efficient and well-structured.

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

Completeness5/5

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

For a tool with a rich output schema, detailed parameter descriptions, and comprehensive annotations, the description covers the primary use case, the main limitation (no fetching), and the alternative tool. Everything an agent needs to decide whether to call this tool and what it does is present.

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%, so each parameter is well-documented in the schema. The description adds minimal param-specific meaning (e.g., 'local CSS' clarifies css scope, and the base_url limitation is also in the schema), but it does not compensate further. Baseline 3 is appropriate.

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?

The description specifies a clear verb and resource: validates supplied HTML markup with multiple checks. It explicitly distinguishes itself from audit_public_webpage by stating it does not fetch a webpage from base_url, making it easy to tell apart from siblings.

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

Usage Guidelines5/5

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

States the condition for use ('when HTML markup is already supplied') and explicitly says not to use it for live URLs, pointing to audit_public_webpage as the alternative. This is explicit when-to-use and when-not-to-use 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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TDQS

A4.3/5.0
Disambiguation4/5

Tools are mostly distinct by input mode (live URL vs supplied HTML/CSS) and check scope (HTML, CSS, JSON-LD, SEO signals, links). The main ambiguity is between audit_public_webpage and generate_validation_report, which run nearly the same checks but differ only in fetching vs supplied HTML; their descriptions call this out clearly.

Naming Consistency4/5

All names follow a lowercase snake_case verb_noun pattern, but the set mixes four verbs (audit, check, generate, validate) for closely related validation operations. This is readable and predictable, with only minor semantic inconsistency around validate_schema_markup and generate_validation_report.

Tool Count5/5

Eight tools is well within the ideal range and each covers a distinct input type or validation focus. The count feels appropriate for a web-validation server without redundancy bloating the surface.

Completeness4/5

The domain is well covered: live-page and sitemap audits, raw HTML/CSS/JSON-LD validation, SEO/accessibility signals, and broken links are all represented. Minor gaps exist, such as no dedicated accessibility validator and limited link-checking behavior, but agents can accomplish the core workflows.