AEO Copilot MCP Server

add_index_topic

Add a topic cluster to an industry index to group related prompts for organized monitoring and analysis of brand visibility across AI search platforms.

Instructions

Add a topic cluster to an industry index. Topics group related prompts (e.g. 'Pricing Questions', 'Best-of Comparisons').

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": {
      "indexId": "<indexId>",
      "name": "<name>"
    },
    "name": "add_index_topic"
  }
}

Input Schema

Name	Required	Description
`name`	Yes	Topic name
`indexId`	Yes	The index UUID from list_indexes
`description`	No	What this topic covers

Schema Changelog

Changes observed during successful MCP inspections.

First observedv1.2.0Aug 30, 2026

TDQS

B3.3/5.0

Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It primarily restates the mutation ('Add...') and offers a domain explanation, but it does not mention duplicate-name handling, whether the index must already exist, confirmation behavior, or return value. This leaves meaningful gaps for an agent deciding whether this operation is safe and how to interpret success.

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 concise sentences with no fluff. The primary action is front-loaded, and the clarifying example earns its place by disambiguating what a 'topic cluster' means.

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?

For a simple create operation, the description plus full schema coverage is reasonably usable, but the absence of annotations and output schema leaves some context unaddressed. There is no guidance on when to prefer this over related tools or what side effects to expect, so completeness is adequate but not strong.

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%, so the schema already documents all three parameters. The description adds example topic names and explains the concept of a topic cluster, but it does not add parameter-level details beyond the schema. Baseline 3 is appropriate.

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 states a specific action and resource: 'Add a topic cluster to an industry index.' It also clarifies the concept with examples ('Pricing Questions', 'Best-of Comparisons'), making the tool's purpose clear. It does not explicitly contrast with siblings like create_topic, but the object is still unambiguous.

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?

The intended use is implied by the description: use when you need to add a topic cluster to an existing industry index. However, it provides no explicit when-to-use versus alternatives, no exclusions, and no guidance about prerequisites such as the index already existing.

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