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Execute Workflow

workflow_execute

Execute a full workflow (audit, analyze, fix, monitor, competitor). Requires API key.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYesTarget URL
topNNoNumber of fixes (for fix workflow)
asyncNoIf true, return the pending run immediately and continue execution in the background — poll workflow_status for progress (Phase C)
intentYesWorkflow type
competitorUrlNoCompetitor URL (for competitor workflow)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
typeYes
runIdYes
stepsYes
outputNo
statusYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.4/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=false, non-idempotent, non-destructive, open-world, so the safety profile is covered structurally. The description adds one behavioral fact beyond the schema: an API key is required. It does not mention that workflows are long-running or that async polling via workflow_status is available (that lives only in the schema), so additional disclosure is thin.

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?

A single compact sentence that front-loads the action and scope, with the auth prerequisite trailing. Nothing is wasted, though it is arguably too terse for a five-parameter, multi-mode tool.

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?

An output schema exists, so return values need not be explained, and all parameters are documented in the schema. However, for a tool with five distinct workflow modes, the description never explains what audit vs. analyze vs. fix actually do, leaving an agent to infer mode selection from the enum names alone.

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 every parameter (intent, url, topN, async, competitorUrl) is already documented, including the enum values and the async/polling behavior. The description's parenthetical list of intents merely restates the schema enum, adding no new syntax or meaning. Baseline 3 applies when the schema does the heavy lifting.

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?

States a specific verb (Execute) and resource (workflow), and enumerates the five workflow types (audit, analyze, fix, monitor, competitor), which lets an agent identify the tool's scope. It does not, however, distinguish itself from siblings like seo_audit, monitor_site, or compare_competitors, which cover overlapping ground.

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 enumerated workflow types imply when the tool applies, and 'Requires API key' is a useful prerequisite. But there is no explicit when-to-use versus the sibling tools (e.g., why choose the competitor workflow here rather than compare_competitors), so usage is only implied.

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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