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products_list_followers

List all users following a specific product, including user IDs and follow times. Use for auditing team access and managing notifications.

Instructions

List all followers of a specific product.

Returns a list of users who are following this product and will receive notifications about updates.

Each follower entry includes:

  • User ID

  • Follower ID (relationship ID)

  • Product ID

  • When they started following

This is useful for:

  • Checking who is tracking a product

  • Auditing team access

  • Managing notifications

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesProduct ID
startNoPagination start (default: 0)
limitNoItems per page, max 500
Behavior4/5

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

No annotations are present, so description carries full burden. It explains the tool returns a list of users who follow a product and that followers receive notifications. This goes beyond just listing entries, revealing behavioral context about notification management.

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 efficient: one-sentence summary followed by bullet points for response fields and use cases. No wasted text, and key information is front-loaded.

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?

Given the schema fully describes parameters and the description covers response fields and use cases, the description is complete for a list tool with no output schema. No gaps identified.

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 100%, so baseline is 3. Description does not add additional meaning beyond what the schema provides for the parameters (id, start, limit). It mentions 'Product ID' in the use cases, but schema already states that.

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?

Description clearly states the verb 'list', resource 'followers', and scope 'of a specific product'. It distinguishes from similar sibling tools like 'deals_list_followers' and 'organizations_list_followers' by specifying the product context.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Description provides explicit use cases (checking who is tracking, auditing, managing notifications). While it doesn't state when not to use or alternatives, the use cases offer clear guidance for typical scenarios.

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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