Skip to main content
Glama

system_get_user_settings

Retrieve all configuration settings for the authorized Pipedrive user, including preferences, feature flags, and limits, to understand user-specific behaviors and defaults.

Instructions

List settings of the authorized user.

Returns all configuration settings for the currently authorized Pipedrive user. This includes personal preferences, feature flags, limits, and account-specific configurations.

Common settings include:

  • list_limit: Default pagination size (e.g., 100)

  • beta_app: Beta features access

  • file_upload_destination: Storage location (e.g., "s3")

  • callto_link_syntax: Phone call link format

  • autofill_deal_expected_close_date: Auto-fill deal dates

  • person_duplicate_condition: Duplicate detection rules

  • marketplace_team: Marketplace team access

  • And many other preferences

This is useful for:

  • Understanding user preferences

  • Checking feature access

  • Debugging user-specific issues

  • Auditing account configuration

  • Determining default behaviors

Cached for 1 hour as settings don't change frequently.

Response includes key-value pairs of settings:

  • Setting name as key

  • Setting value as value (boolean, number, or string)

Common use cases:

  • Check list_limit before pagination

  • Verify beta feature access

  • Understand duplicate detection rules

  • Get default behaviors for operations

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

The description discloses caching behavior (1 hour) and response format. No annotations are provided, so it carries full burden, but it omits any side effects or permission requirements. Still, it gives useful 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?

The description is well-structured with sections and bullet points, and the main purpose is front-loaded. However, it is somewhat verbose with a long list of settings and use cases; some redundancy could be trimmed.

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 tool has no parameters and no output schema, the description fully explains the response format (key-value pairs, types) and includes caching details and common settings. It is complete for the tool's complexity.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool has zero parameters, so schema coverage is trivially 100%. Description adds no parameter info, but none is needed. Baseline score of 4 is appropriate.

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 settings for the authorized user, using specific verb 'List' and resource 'settings'. It distinguishes from sibling tools like system_get_current_user and system_get_metrics by focusing on configuration settings.

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?

The description lists common use cases and scenarios for using the tool, such as understanding user preferences and checking feature access. However, it lacks explicit guidance on when not to use it or alternatives.

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