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Generate before/after report

generate_report

Generates an HTML report comparing accessibility audit results before and after applying fixes, including details of applied fixes.

Instructions

Build a self-contained before/after HTML accessibility report from an audit and applied fixes. No LLM. Returns the HTML string.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYesAudited URL / page label shown in the report header.
altTextsNoGenerated alt texts (target/altText/model).
auditAfterNoAuditResult after fixes (after column).
auditBeforeYesAuditResult from audit_page (before fixes).
generatedAtNoOptional timestamp shown in the header.
simpleFixesNoAppliedFix[] from simple_fixes.
contrastFixesNoContrastReinjection[] from the contrast glue.
Behavior3/5

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

With no annotations, the description must carry all behavioral transparency. It mentions 'No LLM' (rule-based) and returns HTML string, but lacks details on side effects, performance, or size limitations.

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?

Two sentences, front-loaded with core purpose, no fluff. Each sentence adds unique information (purpose, behavior, output format).

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

Completeness3/5

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

Given 7 parameters and nested objects, the description covers the high-level purpose but does not clarify behavior when optional parameters (like auditAfter) are missing, which is important for a report generator.

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

Parameters4/5

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

Schema coverage is 100%, and the description adds context by indicating the report compares 'before/after' and uses fixes, linking parameters like auditBefore and simpleFixes together.

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 clearly states the verb 'Build' and the resource 'self-contained before/after HTML accessibility report', distinguishing it from sibling tools like audit_page or fix_contrast.

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?

The description implies usage after audits and fixes but does not explicitly state when to use or not use this tool versus alternatives, nor does it provide exclusion criteria.

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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