Skip to main content
Glama

persons_list_products

Retrieve all products associated with a person through deals, including purchased and active products, to analyze customer purchase history and identify cross-selling opportunities.

Instructions

List products associated with a person.

Returns all products that have been sold to or associated with this person through deals. This provides an overview of:

  • All products the person has purchased

  • Products in active deals

  • Historical product associations

  • Product preferences and patterns

Each entry includes:

  • Product details (name, code, price)

  • Deal information

  • Quantities and pricing

  • Dates and status

  • Custom product fields

This is useful for:

  • Understanding customer purchase history

  • Cross-selling and upselling opportunities

  • Product preferences analysis

  • Revenue tracking per person

  • Customer success and account management

  • Renewal and subscription management

The data is aggregated from all deals associated with the person.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesPerson ID
startNoPagination start (default: 0)
limitNoNumber of items to return (max 500)
Behavior4/5

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

No annotations provided, so description carries full burden. It explains the output includes aggregated data from deals and lists return fields. Does not mention auth or rate limits, but gives sufficient behavioral context.

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?

Description is somewhat lengthy but well-structured with bullet points and paragraphs. Front-loads purpose, but could be trimmed slightly without losing value.

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 no output schema and simple parameters, description sufficiently explains what is returned and use cases. It is complete for an agent to decide usage.

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 the baseline is 3. Description does not add extra meaning beyond the schema; parameters are well-documented in schema.

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 the tool lists products associated with a person, specifying it returns product details, deal info, etc. It distinguishes from sibling tools like persons_list_deals by focusing on products.

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 (e.g., understanding purchase history, cross-selling) but does not mention when not to use or alternatives. Still clear context.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/iamsamuelfraga/mcp-pipedrive'

If you have feedback or need assistance with the MCP directory API, please join our Discord server