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gray-wilbee

fub-mcp

by gray-wilbee

create_em_campaign

Create email marketing campaigns by submitting campaign details (name, subject, HTML body) to the CRM, with optional custom fields and query parameters.

Instructions

Create an email marketing campaign. (POST /emCampaigns)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameNoName of the email campaign or template.
originNoName of the email marketing system where this campaign originated from.
subjectNoEmail subject line.
bodyHtmlNoEmail body in HTML.
originIdNoInternal ID of the new campaign or email in the origin system.
extraBodyNoExtra raw JSON body fields not explicitly listed above — e.g. custom.* fields when creating/updating people or deals. Keys and values are sent as-is.
extraQueryNoExtra raw query parameters not explicitly listed above — e.g. FUB custom field filters like custom.ClosingDate on /people or /deals. Keys and values are sent as-is.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

C2.9/5.0
Behavior2/5

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

With no annotations, the description carries the full burden of behavioral disclosure. It reveals only that this is a POST creation operation; it does not mention required context, auth needs, side effects, idempotency, or the shape of the created campaign.

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?

The description is a single concise sentence with an endpoint, and there is no filler. It is suitably front-loaded, though the brevity leaves little room for context.

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

Completeness2/5

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

For a mutation tool with no annotations and no output schema, the description should supply more operational context. It lacks alternative selection guidance, behavioral caveats, and expected return information, so it is not complete enough for an agent to use confidently.

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 baseline of 3 applies even though the description adds no parameter-level detail. It does not clarify how parameters relate to an email campaign beyond what the schema already states.

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 description states a specific verb and resource: 'Create an email marketing campaign' and gives the exact endpoint POST /emCampaigns. It is clear but does not actively differentiate itself from sibling tools such as create_em_event or update_em_campaign.

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

Usage Guidelines2/5

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

There is no guidance about when to use this tool versus alternatives. The description only offers the operation and endpoint, leaving the agent to infer selection criteria from the name and schema.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Deploy Server

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