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Get Audit Workflow

get_workflow
Read-onlyIdempotent

Returns the ordered steps of a curated audit workflow, including rule slugs, priorities, and categories. Use it when the user requests a structured audit such as a pre-launch checklist. Available workflows: 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
slugYesThe checklist workflow 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'

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
iconNo
slugNo
errorNo
stepsNo
titleNo
highCountNo
difficultyNo
totalRulesNo
descriptionNo
criticalCountNo
estimatedTimeNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false and openWorldHint=false, so the safety profile is fully covered structurally. The description adds only that the returned steps are ordered and carry priorities/categories, which is thin beyond what the schema and annotations supply.

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 first two sentences are tight and front-loaded, but the third sentence redundantly restates the entire enum already present in the input schema, which is wasted space and offers no new 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?

With an output schema present, the description need not explain return values, and the workflow-name list duplicated from the schema is harmless. What is missing is any guidance on choosing among the twelve workflows, but the tool is otherwise adequately described.

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 the enum is fully documented in the schema, so the baseline is 3. The description merely re-lists the same twelve slugs with no added semantic guidance (e.g., which workflow suits which situation), so no credit above baseline.

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

Purpose4/5

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

The first sentence names a specific verb and resource and enumerates what is returned (ordered steps, rule slugs, priorities, categories). An agent can distinguish it from rule-lookup siblings like get_rule or check_rule, though it never explicitly contrasts with get_checklist_rules, the closest sibling.

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?

It gives a clear trigger condition: 'Use it when the user requests a structured audit such as a pre-launch checklist.' This is a concrete usage context, but there is no when-not guidance or explicit routing away from the rule-level siblings.

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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