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nextafter-michael

unofficial-vwo-mcp-server

List VWO campaign variations

vwo_list_campaign_variations
Read-only

List variations on a VWO campaign to discover variation IDs. Retrieve configured variations for a campaign.

Instructions

List the variations configured on a VWO campaign. Use this to discover variation ids.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMaximum number of items to return.
offsetNoNumber of items to skip, for paging.
accountIdNoNumeric VWO workspace (account) id to operate on. Required unless the server has a default workspace configured. If the user referred to a workspace by name, either pass workspaceName instead or call vwo_list_workspaces to look up the id — never guess an id.
campaignIdYesVWO campaign id. Call vwo_list_campaigns first if you do not have it.
workspaceNameNoWorkspace name to resolve to an id, as an alternative to accountId. Must match exactly one visible workspace, otherwise an error lists the candidates.
Behavior3/5

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

Annotations provide readOnlyHint and openWorldHint, so the description only needs to add context beyond those. It mentions 'discover variation ids' which hints at output, but it doesn't describe the return format, pagination behavior, or authentication needs. This is adequate but not rich.

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 two sentences, front-loaded with the verb and resource, and contains no unnecessary words. Every sentence adds value.

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 no output schema, the description should explain what the response contains. It only mentions 'variation ids', but the actual output likely includes more fields (e.g., name, weight). This gap makes it incomplete for an agent to fully understand the tool's output.

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 the parameter information is fully in the schema. The description adds no additional semantics beyond the schema, so a baseline score of 3 is appropriate.

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 action ('List'), the resource ('variations configured on a VWO campaign'), and the purpose ('discover variation ids'). This distinguishes it from siblings like vwo_get_campaign_variation, which retrieves a single variation.

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 for discovering variation ids but does not specify when not to use this tool or mention alternatives among the many variation-related siblings (e.g., new, update, delete). No explicit context is given for choosing this over similar tools.

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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