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emailoctopus

Create contact

emailoctopus_create_contact
Destructive

CREATES a new contact in a list — this MODIFIES live data (adds a subscriber). email_address is required; optionally set fields (keyed by field tag), tags, and status. EmailOctopus: POST /lists/{list_id}/contacts. Returns the created contact.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tagsNoTags to apply to the contact, e.g. ["vip", "beta"].
fieldsNoCustom field values, keyed by the list's field tag (e.g. {"FirstName": "Ada"}).
statusNoSubscription status: subscribed, pending, or unsubscribed.
list_idYesThe list's id to add the contact to.
email_addressYesThe contact's email address.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.8/5.0
Behavior3/5

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

Annotations already set destructiveHint=true. The description adds that it modifies live data and returns the created contact, but this is minimal beyond the annotation. No contradictions.

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?

Two sentences front-loaded with 'CREATES a new contact' and includes essential details (required, optional, HTTP method, return value). No extraneous text.

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?

Given 5 parameters and no output schema, the description covers creation action, required fields, and return value. It lacks error handling or rate limits but is sufficient for a straightforward create tool.

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 coverage is 100% with descriptions for each parameter. The description echoes required fields and mentions 'keyed by field tag' for fields, which adds slight context but largely duplicates schema. Baseline 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 it creates a new contact in a list, modifies live data, and provides the HTTP method. It distinguishes itself from siblings like delete, update, and get by specifying creation action.

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?

It mentions required and optional parameters but does not explicitly guide when to use this tool versus siblings like update_contact or delete_contact. Usage context is implied but not directly stated.

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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