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Kommo CRM MCP Server

Kommo CRM MCP Server

by Miguelgbastos
OverviewSchemaSourceRelated ServersDiscussionsAdmin
TypeScript
Remote

get_pipeline_analytics

Analyze pipeline performance by retrieving detailed metrics and insights based on specified pipeline ID and date ranges within Kommo CRM MCP Server.

Instructions

Get analytics for a specific pipeline

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "pipeline_id": "<pipeline_id>"
    },
    "name": "get_pipeline_analytics"
  }
}

Input Schema

NameRequiredDescriptionDefault
date_fromNoStart date (YYYY-MM-DD)
date_toNoEnd date (YYYY-MM-DD)
pipeline_idYesID of the pipeline

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

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 full burden but only states the action without behavioral details. It doesn't disclose whether this is a read-only operation, requires authentication, has rate limits, returns paginated data, or what the analytics include (e.g., metrics, format). This leaves significant gaps for an agent to understand operational traits.

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 a single, efficient sentence that directly states the tool's function without unnecessary words. It is front-loaded with the core purpose, making it easy to parse quickly, though this conciseness comes at the cost of depth in other dimensions.

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?

Given the complexity of analytics tools and lack of annotations or output schema, the description is insufficient. It doesn't explain what analytics are returned, how to interpret results, or handle edge cases (e.g., invalid dates). For a tool with three parameters and no structured output, more context is needed for effective use.

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%, with clear documentation of all three parameters (date_from, date_to, pipeline_id) in the input schema. The description adds no additional meaning beyond the schema, such as explaining parameter interactions or default behaviors, so it meets the baseline for high schema coverage without compensating value.

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 clearly states the verb 'Get' and the resource 'analytics for a specific pipeline', making the purpose understandable. It distinguishes from general analytics tools like 'get_lead_analytics' by specifying 'pipeline' scope, but doesn't explicitly differentiate from similar sibling 'get_pipeline_performance_report', which might overlap in function.

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 like 'get_pipeline_performance_report' or 'get_lead_analytics'. The description implies usage for pipeline-specific analytics but lacks context on prerequisites, exclusions, or comparative scenarios with sibling tools.

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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