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Front-End Checklist

Get Checklist Rules

get_checklist_rules
Read-onlyIdempotent

Returns full rule details for every rule in a curated checklist in a single call. More efficient than calling get_rule N times after get_workflow. Use when you need the complete rule content for an entire checklist to perform a comprehensive audit or code review. Available checklists: accessibility-essentials, comprehensive-audit, core-web-vitals, html-foundations, image-optimization, javascript-resilience, launch-checklist, performance-quick-wins, privacy-and-consent, security-audit, seo-audit, testing-checklist.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
checklistYesChecklist slug. Available: 'accessibility-essentials', 'comprehensive-audit', 'core-web-vitals', 'html-foundations', 'image-optimization', 'javascript-resilience', 'launch-checklist', 'performance-quick-wins', 'privacy-and-consent', 'security-audit', 'seo-audit', 'testing-checklist'
includeContentNoInclude full MDX body content (large). Default false returns title, description, prompts, and metadata only.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
errorNo
rulesNo
checklistNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint and non-destructive, so the safety profile is covered. The description adds the bulk-fetch/efficiency trait, but 'full rule details for every rule' subtly conflicts with the schema's includeContent default of false (title, description, prompts, metadata only) – an agent could wrongly assume the full MDX body always comes back.

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?

Front-loaded with the value proposition and the efficiency contrast in the first two sentences, which is well structured. However, the trailing enumeration of all twelve checklist slugs duplicates the schema enum verbatim and consumes tokens without adding information.

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?

Output schema exists, so return shape needn't be explained, and usage/alternatives are covered. The only real gap is the ambiguity between 'full rule details' and the default includeContent=false behavior, which could mislead about payload size and content.

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 both parameters are documented there, so baseline 3 applies. The description only re-lists the checklist enum values, adding no semantics beyond the schema, and says nothing about includeContent.

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?

States a specific verb and resource ('returns full rule details for every rule in a curated checklist') and explicitly positions itself against siblings by calling out get_rule and get_workflow. An agent can distinguish it from single-rule tools without opening any schema.

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

Usage Guidelines4/5

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

Gives clear context ('when you need the complete rule content for an entire checklist to perform a comprehensive audit or code review') and names get_rule as the less efficient alternative. It lacks an explicit 'use get_rule instead when you only need one rule' exclusion, but the bulk-vs-single tradeoff is easy to infer.

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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