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score_page

Read-onlyIdempotent

Score an HTML/CSS page across 7 design categories (Structure, Typography, Color & palette, Spacing & rhythm, Accessibility, Responsive layout, Design tokens), each rated 0–10. Scores are derived deterministically from the same checks as audit_page — no browser required. Pass html directly; the url argument is REJECTED on this hosted (remote) endpoint. Also returns the same overall 0–100 score and A–D grade audit_page produces, the weakest category, and the three categories Raven does not mechanically assess (brand, conversion, motion) with guidance on which tools to use for those. score_page url-capture is disabled on the hosted (remote) endpoint. Pass the page HTML via the 'html' argument instead.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlNoREJECTED on this hosted (remote) endpoint; pass html instead. (Local/stdio: Raven launches headless chromium, renders the page, and scores the RENDERED DOM.)
htmlNoThe full HTML content of the page to score.
strictNoStrict mode — count warnings as failures in the overall score. Default: false.
containerMaxWidthNoYour design system's canonical content-container width in px (e.g. 1152). Forwarded to the responsive/max-width check.

TDQS

A4.4/5.0
Behavior5/5

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

Annotations already declare readOnlyHint=true and idempotentHint=true, and the description adds meaningful context beyond them: scores are 'derived deterministically from the same checks as audit_page', no browser is launched, and the url argument is actively REJECTED (not silently ignored) on the hosted endpoint. This rejection behavior and determinism are genuinely additive and consistent with the idempotent hint.

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 front-loaded with a strong purpose statement, but the final two sentences repeat what was already stated in the third sentence: 'score_page url-capture is disabled on the hosted (remote) endpoint. Pass the page HTML via the "html" argument instead' restates 'Pass html directly; the url argument is REJECTED on this hosted (remote) endpoint.' The phrase 'hosted (remote) endpoint' also appears three times, making the description longer than necessary.

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 present, the description carries the burden of documenting return values, and it does so thoroughly: 7 category scores (0–10), overall 0–100 score, A–D grade, weakest category, and the three non-mechanical categories with tool guidance. Combined with the strong parameter schema and safety annotations, the tool is fully comprehensible; it only misses an example or more concrete detail on the guidance for brand/conversion/motion tools.

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% and each parameter (url, html, strict, containerMaxWidth) already has a detailed schema description including the hosted-endpoint rejection of url. The description adds emphasis by pointing to html as the correct input, but contributes little semantic information beyond what the schema already provides, so the 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 opens with a specific, actionable statement: 'Score an HTML/CSS page across 7 design categories' with each category enumerated and its 0–10 rating scale stated. It clearly distinguishes from siblings by explicitly referencing audit_page ('same checks as audit_page') and noting it covers categories Raven does not mechanically assess, differentiating it from both the audit_* family and score_creative.

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?

The description gives explicit when-to-use guidance: use this tool for deterministic scoring 'no browser required' versus audit_page (which presumably renders). It names audit_page as the direct alternative, provides the hosted-vs-local usage split ('Pass html directly; the url argument is REJECTED on this hosted (remote) endpoint'), and even directs users toward other tools for brand/conversion/motion categories.

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

A3.7/5.0
Disambiguation4/5

Most tools have clearly distinct purposes (audit_* vs get_* vs list_* vs generate_* vs score_*), but there is notable overlap among audit_page, audit_layout, score_page, and audit_url (all audit rendered HTML, with audit_page and score_page explicitly sharing checks; audit_screen and audit_ios_screen are aliases). The get_* family (get_pattern vs get_content_pattern vs get_service_pattern, get_principles vs get_brand_principles vs get_content_principles) have overlapping boundaries that may cause misselection.

Naming Consistency4/5

Names follow a consistent verb_noun pattern (audit_*, get_*, list_*, generate_*, score_*, compose_*, suggest_*, search_*), which is predictable and readable. Minor deviations exist: 'evaluate_design' uses evaluate_ instead of audit_/score_, and 'process' isn't present but 'compose_system' uses compose_ instead of generate_/get_. Overall the convention is strong and consistent.

Tool Count2/5

45 tools is far beyond the typical well-scoped server (3-15 tools) and even beyond the 'heavy' 25+ threshold. The server appears to be an all-in-one design/UX knowledge base and auditing suite, but the sheer count makes discovery and selection overwhelming, and many tools (e.g., multiple audit_* variants for mobile platforms) could be consolidated.

Completeness3/5

The server covers a wide domain: audits for web/mobile/RN/SwiftUI, design tokens, UX principles, content systems, business strategy, creative scoring, and service design. However, there are gaps: no tool for creating or editing design systems (only get/generate), no update/delete operations anywhere (all read-only or audit-only), and the creative side has list/score but no generation tool. The set feels broad but shallow in lifecycle coverage.