Skip to main content
Glama
alvarolloret

Miinta Pipedrive MCP

by alvarolloret

miinta.filters.create

Create a custom Pipedrive saved filter for deals, activities, or other entities. Define conditions to build reusable filters for your sales queue.

Instructions

Create a new Pipedrive saved filter. Useful for creating custom activity or deal filters that can then be used with miinta.sales_queue.get. Returns the created filter with its ID.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesName for the new filter
typeYesThe entity type this filter applies to.
conditionsYesPipedrive filter conditions JSON. Full format: {"glue":"and","conditions":[{"glue":"and","conditions":[...]},{"glue":"or","conditions":[...]}]}. Shorthand with only one "and" group is also accepted and auto-normalized. Each condition object has: object (e.g. "deal","activity","organization"), field_id, operator (e.g. "=","!=","IS NOT NULL"), value, extra_value. field_id can be numeric ID or field key/name; it is auto-resolved when possible. Max 16 conditions per filter.
Behavior3/5

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

With no annotations, the description must carry the full behavioral burden. It discloses the return value (created filter with ID), but omits potential errors, idempotency, or permission requirements. This is minimal but not entirely absent.

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 sentences with no wasted words. It front-loads the action and then adds context and return behavior.

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?

The detailed schema covers the complex conditions object and type enum, while the description adds the sales_queue.get use case and return value. It lacks error handling info, but is otherwise sufficient for a create tool.

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 fully documents all three parameters. The description adds no extra parameter meaning beyond what the schema already provides.

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 creates a new Pipedrive saved filter with a specific verb and resource. It also distinguishes from siblings (list, delete) by noting its use with miinta.sales_queue.get.

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 gives a clear usage context: creating custom filters for later use with the sales queue. It doesn't explicitly exclude alternatives, but the create/list/delete relationship among siblings is implicit.

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/alvarolloret/pipedrive-mcp'

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