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Moltline Outbound Engine

Utm Builder

utm_builder
Read-onlyIdempotent

Build a UTM-tagged URL for campaign tracking. FREE.

Typical input {"url": "https://example.com/pricing", "source": "newsletter", "medium": "email", "campaign": "spring-launch"} returns {"tagged_url": "https://example.com/pricing?utm_source=newsletter& utm_medium=email&utm_campaign=spring-launch"}.

Use to build one tagged tracking URL. Not for analyzing campaign results and not for anything that belongs in the message body (audit_copy). Errors: on invalid, missing, or malformed input this tool never raises a protocol error; it returns {"error": ""} (for example {"error": "url must start with http(s)://"}). Every call is read-only and idempotent, so after correcting the input it is always safe to retry.

Input Schema

NameRequiredDescriptionDefault
urlYesDestination URL; must start with http:// or https://.
termNoOptional utm_term value for paid keywords.
mediumYesutm_medium value, the channel, e.g. "email" or "cpc".
sourceYesutm_source value, where the traffic comes from, e.g. "newsletter".
contentNoOptional utm_content value for A/B variants.
campaignYesutm_campaign value, the campaign name, e.g. "spring-launch".

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed3 schema fields changed
    • changedInput schema / properties / campaign / description
      Previous value: -"utm_campaign value — the campaign name,\ne.g. \"spring-launch\"."New value: +"utm_campaign value, the campaign name,\ne.g. \"spring-launch\"."
    • changedInput schema / properties / medium / description
      Previous value: -"utm_medium value — the channel, e.g. \"email\" or \"cpc\"."New value: +"utm_medium value, the channel, e.g. \"email\" or \"cpc\"."
    • changedInput schema / properties / source / description
      Previous value: -"utm_source value — where the traffic comes from,\ne.g. \"newsletter\"."New value: +"utm_source value, where the traffic comes from,\ne.g. \"newsletter\"."
  2. First observed

TDQS

A4.6/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint and destructiveHint, but the description adds a genuine error contract: it never raises a protocol error and instead returns {"error": ...} with fix guidance, and retry after correcting input is safe. That is real behavioral disclosure beyond the annotations, though failure modes for malformed optional fields (term/content) are not spelled out.

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?

Purpose is front-loaded in the first line, and usage/exclusions follow before the error contract. The inline JSON examples are somewhat verbose and split awkwardly across lines, but each sentence carries actionable information.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With an output schema present, return values need no explanation, and the description still supplies the error shape, retry safety, usage boundaries and a concrete example. An agent has everything needed to call this correctly on the first attempt.

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 description coverage is 100% and each field already documents its utm_ mapping and defaults, so the baseline is 3. The worked input/output example adds modest value by showing how the four required params assemble into the final tagged_url, but it restates rather than extends the schema (optional term/content are absent from the example).

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 ('Build a UTM-tagged URL for campaign tracking') plus an explicit scope limit ('one tagged tracking URL'). It also names what it is not for ('analyzing campaign results') and points at the sibling audit_copy, so an agent can separate it from the rest of the toolset without opening the schema.

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

Usage Guidelines5/5

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

Gives both a positive trigger ('Use to build one tagged tracking URL') and explicit exclusions, routing message-body work to audit_copy by name. The one-URL-at-a-time constraint is stated, which prevents batch misuse.

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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