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vanman2024

Multilead Open API MCP Server

by vanman2024

activate_inboxflare_warmup

Activate email warm-up service for a user by creating their InboxFlare account and sending login credentials via email.

Instructions

Activate InboxFlare warm-up for a user

This endpoint creates an account for the user on the InboxFlare warm-up tool and sends credentials via email.

Args: user_id: User ID to activate warm-up for

Returns: Success confirmation with account creation details

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
user_idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

No annotations are provided, so the description carries full burden. It discloses that the tool creates an account and sends emails (implying mutation and side effects), but lacks critical behavioral details: required permissions, whether it's idempotent, error conditions (e.g., if user already has warm-up), rate limits, or what 'Success confirmation' entails. For a mutation tool with zero annotation coverage, this is a significant gap.

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 well-structured with a clear title line, a brief explanation, and separate Args/Returns sections. It's appropriately sized for a single-parameter tool, with no redundant sentences. The front-loaded purpose statement is effective, though the formatting could be slightly more streamlined.

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 1 parameter with 0% schema coverage and an output schema (implied by 'Has output schema: true'), the description is minimally adequate. It covers the parameter meaning and return intent, but as a mutation tool with no annotations, it should ideally include more behavioral context (e.g., permissions, idempotency) to fully guide the agent.

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 0%, so the description must compensate. It explicitly documents the single parameter 'user_id' with its purpose ('User ID to activate warm-up for'), adding essential meaning beyond the bare schema. However, it doesn't specify format constraints (e.g., UUID, integer) or examples, leaving some ambiguity.

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 clearly states the action ('activate', 'creates an account', 'sends credentials') and the resource ('InboxFlare warm-up for a user'). It specifies the exact outcome (account creation and credential emailing), making the purpose unambiguous. However, it doesn't explicitly differentiate from sibling tools like 'create_seat' or 'register_new_user', which might involve user account creation in different contexts.

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?

The description provides no guidance on when to use this tool versus alternatives. It doesn't mention prerequisites (e.g., user must exist), exclusions (e.g., don't use if warm-up is already active), or related tools like 'create_seat' or 'register_new_user' from the sibling list. The agent must infer usage solely from the purpose statement.

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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