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Create Journey

create_journey

Create a custom browser test flow for a target. Steps are executed sequentially in a Playwright browser. Supports actions: navigate, click, type, fill, select, assert, wait, screenshot, scroll, hover, use_fragment. Variables like {{LOGIN_EMAIL}} are resolved from the target secrets vault.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesJourney name
stepsYesOrdered list of browser actions
platformNoPlatform tag (e.g. "shopify", "woocommerce")
targetIdYesTarget ID to create the journey for
descriptionNoJourney description
timeoutSecondsNoMax execution time in seconds

TDQS

A4/5.0
Behavior3/5

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

No annotations are provided, so the description must disclose behavior. It reveals that steps run sequentially in Playwright, lists supported actions, and explains variable resolution from the secrets vault—useful runtime semantics. However, it omits creation-time behaviors such as validation, storage, or response type.

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?

The description is compact—four sentences, front-loaded with the purpose, and each sentence provides distinct value (execution model, supported actions, variable resolution). No filler or redundancy.

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?

For a tool with nested steps and no output schema, the description provides solid context: sequential execution, supported actions, and variable resolution. It falls short by not explaining what the create operation returns or explicitly noting that it does not run the journey (trigger_journey does). Slightly more completeness would earn a 5.

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%, so the baseline is 3. The description adds value beyond property descriptions by enumerating valid actions and illustrating variable syntax ({{LOGIN_EMAIL}}), helping users construct the steps array correctly.

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 a specific verb and resource: 'Create a custom browser test flow for a target.' It distinguishes from other create_* siblings by emphasizing browser test flow and Playwright execution, making it evident this is for creating a journey.

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?

Usage is implied rather than explicit. The description explains what the tool does but does not state when to use it versus alternatives like trigger_journey or update_journey, nor any exclusions or prerequisites.

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

A3.5/5.0
Disambiguation4/5

Most tools are clearly separated by resource (targets, runs, findings, incidents, etc.) and action. A few close pairs like active_runs/list_runs and mute_finding/create_muting_rule could confuse, but descriptions clarify the distinctions.

Naming Consistency4/5

The majority of tools follow verb_noun naming (create_target, get_target, delete_journey). A few outliers use noun phrases (active_runs, daily_trends, system_health, team_stats) which slightly breaks the pattern, but overall the convention is predictable.

Tool Count1/5

74 tools is extreme for any MCP server. Even for a comprehensive monitoring platform, this overwhelms agents with too many granular operations (e.g., enable_all_tests vs disable_all_tests vs update_test, or import_targets duplicating create_target). A more consolidated set would be appropriate.

Completeness5/5

The tool surface is remarkably complete for the monitoring domain: full CRUD for targets, journeys, rules, reports, secrets, and fragments; plus run triggering, incident management, findings handling, SEO tracking, guest scans, and admin tools. Only maintenance windows lack an update operation, which is minor.

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