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sofianbettayeb

AEO Copilot MCP Server

add_index_prompts

Bulk add multiple prompts to a specific topic in an industry index to expand tracking and analysis of brand visibility across AI search platforms.

Instructions

Bulk-add prompts to a topic in an industry index.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
indexIdYesThe index UUID from list_indexes
promptsYesArray of prompt strings to add
topicIdYesThe topic UUID — prompts are grouped under a topic
Install Server

TDQS

C2.9/5.0
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 only states that the operation is a bulk add, but does not mention whether prompts are appended or replace existing ones, whether duplicates are allowed, whether the operation is idempotent, or what the return/response looks like. This is a significant gap for a mutating 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?

A single, front-loaded sentence with no filler. Every word earns its place: 'Bulk-add' communicates the operation, 'prompts' the resource, 'topic' the grouping, and 'industry index' the scope.

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

Completeness2/5

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

With no annotations and no output schema, the description leaves out critical operational context: whether the target index/topic must pre-exist, how duplicate prompts are handled, what a successful call returns, and how this tool relates to list_prompts or run_index_prompts. For a mutation tool with three required parameters, this is insufficient.

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 baseline is 3. The description adds no parameter-level information beyond the schema: 'topic' and 'prompts' map directly to the fields, but the schema already describes each parameter, including the index UUID source. No new semantic detail is offered.

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 ('Bulk-add'), names the resource ('prompts'), and specifies the target scope ('topic in an industry index'), making it immediately clear what the tool does. The 'industry index' qualifier helps differentiate it from the generic sibling add_prompts, though it does not explicitly name that alternative.

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?

No guidance is provided on when to use this tool versus alternatives such as add_prompts, add_index_topic, or run_index_prompts. The description does not state prerequisites (e.g., whether the index and topic must already exist) or conditions that would make this tool preferred.

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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