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EAD Enterprise Suite MCP Server

notification_request_create

Create a certified notification request for a case file. Specify content as valid HTML, set language, and get a notification request ID for adding receivers.

Instructions

Creates a certified notification request. Requires: case_file_create → caseFileId. Generate a UUID v4 for id. Set language to en_GB or es_ES. Returns notificationRequestId. Add at least one receiver with notification_receiver_add before sending. IMPORTANT: The content field must be valid HTML — plain text without HTML tags will not render on the recipient landing page. Only the following HTML formats are supported: paragraphs (), bold (), italic (), unordered lists (), ordered lists (). Do not use other HTML tags or CSS. Avoid special typographic characters (em dashes, smart quotes) in subject; use standard ASCII equivalents (hyphen, straight quotes) instead.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYes
typeNo
contentYes
subjectYes
languageYes
caseFileIdYes
otpByDefaultNo
sendWaUrlByDefaultNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.6.1

TDQS

A4.4/5.0
Behavior4/5

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

Annotations provide minimal behavioral info (readOnlyHint false, destructiveHint false). The description adds critical details: content must be valid HTML with a restricted tag set, subject must avoid special characters, and returns notificationRequestId. It does not cover error cases or rate limits, but is sufficient for a creation tool.

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?

Description is concise (5 sentences) with no redundancy. Key information is front-loaded: purpose first, then requirements and constraints. The important HTML and character rules are highlighted clearly.

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 8 parameters and no output schema, the description covers creation workflow, prerequisites, post-conditions, and content/subject restrictions. It mentions the returned notificationRequestId. Lacks explanation of optional parameters and no output schema, but overall guides an agent effectively.

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 0%, so description must compensate. It explains caseFileId, id, language, content, and subject in detail, including formatting rules and allowed values. However, it does not describe optional parameters (type, otpByDefault, sendWaUrlByDefault), leaving gaps. Coverage ~62.5%, adding value but incomplete.

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 certified notification request and specifies required fields (caseFileId, UUID id, language). It distinguishes from sibling tools like notification_receiver_add by noting that receivers must be added separately.

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?

Provides explicit prerequisites (case_file_create → caseFileId), post-conditions (use notification_receiver_add before sending), and constraints on language, content format, and subject characters. This helps the agent understand when and how to use the tool correctly.

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