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Agent.ai MCP Server

Agent.ai MCP Server

by OnStartups
OverviewSchemaSourceRelated ServersDiscussionsAdmin
JavaScript
Remote

trends_research_send_trends_email_action

Deliver a trends research digest directly to email, featuring top trends, industry signals, and a personalized insights teaser with a call to action.

Instructions

Sends a trends research digest as a formatted email. Uses the same design system as Competitive Brief emails. Includes Top Trends, Industry Signals, personalized insights teaser, and 'Read Full Analysis' CTA.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "output_variable_name": "<output_variable_name>"
    },
    "name": "trends_research_send_trends_email_action"
  }
}

Input Schema

NameRequiredDescriptionDefault
digest_idNoID of the digest to send. Use {{trends_digest.digest_id}} to reference output from [TR1].{{trends_digest.digest_id}}
emailNoOverride email address. Defaults to the user's account email.
output_variable_nameYesemail_result

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A3.5/5.0
Behavior2/5

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

No annotations are provided, and the description does not disclose behavioral traits like authentication needs, rate limits, or side effects (e.g., that it sends an email). The description only explains what the email contains, not the action's implications.

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 core action, and each sentence adds specific value (action detail and content structure). No extraneous information.

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 annotations and no output schema, the description is minimal. It does not cover prerequisites, error conditions, or return behavior. For a simple email action, it is adequate but leaves gaps in behavioral context.

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 67%. The description adds no parameter information beyond what the schema provides. The schema already covers digest_id and email adequately, but output_variable_name lacks a description. The description does not compensate for this gap.

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 tool sends a trends research digest as a formatted email, specifies its content components (Top Trends, Industry Signals, etc.), and references the design system. This distinguishes it from sibling tools like trends_research_generate_trends_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?

No explicit guidance on when to use this tool versus alternatives, such as industry_research_send_research_email_action. The usage is implied by the tool name and context, but no when-not or prerequisites are mentioned.

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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