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IsidoreSoftware

Ogarni.AI MCP Server

List Notifications

ogarniai_list_notifications
Read-onlyIdempotent

List user notifications with filters for read status, type, category, and pagination. Returns notification details including urgency and action URLs.

Instructions

List user notifications with optional filters.

Args:

  • isRead (boolean, optional): Filter by read status

  • type (string, optional): Filter by type - "Error", "Warning", "Info", or "Success"

  • category (string, optional): Filter by category - "DocumentProcessing", "WeeklySummary", "System", or "DuplicateDetection"

  • pageSize (number, optional): Items per page (default: 50)

  • pageNumber (number, optional): Page number (default: 1)

Returns: JSON array of notifications with id, type, category, title, message, isRead, isUrgent, actionUrl

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
typeNoFilter by notification type
isReadNoFilter by read status
categoryNoFilter by notification category
pageSizeNoItems per page
pageNumberNoPage number

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv2.0.0

TDQS

A3.6/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint=false, so the safety profile is covered. The description adds useful return-shape details (JSON array with field names) and pagination defaults without contradicting the annotations.

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 front-loaded with a clear purpose sentence, followed by a compact Args/Returns structure. It is well organized and scannable, though the parameter list partially duplicates schema information.

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

Completeness5/5

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

Since there is no output schema, the description compensates by listing exact return fields. All five optional parameters are documented with defaults and enum values, and annotations cover the read-only/idempotent behavior, so an agent has enough context to invoke the tool correctly.

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%, and the description largely restates the schema's parameter names, types, enums, and defaults. It adds no substantial new meaning beyond what the schema already provides, so the baseline score applies.

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 uses a specific verb ('List') and resource ('user notifications'), and mentions optional filters. It is clear and distinguishable from sibling resources like documents or unread count, though it does not explicitly contrast with get_notification or get_unread_count.

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 on when to use this tool instead of alternatives such as get_notification or get_unread_count. Usage must be inferred from the name and first sentence; no exclusions or alternative-selection conditions are provided.

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