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a-shipilo

bitrix24-mcp-server

by a-shipilo

crm_list

Read-only

Query Bitrix24 CRM entities by filters to retrieve leads, deals, contacts, or companies. Omits empty fields in responses.

Instructions

Найти лиды, сделки, контакты или компании по фильтру. Пустые поля в ответе опускаются.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoСколько записей вернуть (1–50). По умолчанию 20.
orderNoСортировка, по умолчанию {"id": "desc"}
startNoСмещение для постраничного вывода. По умолчанию 0.
entityYesТип объекта: lead, deal, contact или company
filterNoФильтр по полям в camelCase. Префиксы: >, >=, <, <=, != или !, % (содержит), @ (в списке). Пример: {"stageId": "NEW", ">=opportunity": 100000, "%title": "поставка", "@assignedById": [1, 7]}
selectNoКакие поля вернуть; по умолчанию ["*"] — все поля, включая телефоны и e-mail (fm)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A3.6/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and openWorldHint=true, covering safety and external data. The description adds a useful behavioral note ('Empty fields in response are omitted'), which is not in the annotations, but it does not elaborate on pagination, result format, or potential quirks beyond that.

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 extremely concise—two short sentences with no filler. The primary purpose is front-loaded, and the additional behavioral note about empty fields is placed at the end. Every word earns its place.

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?

For a read-only list tool with a rich input schema and an output schema, the description covers the essential purpose and one behavioral nuance. The output schema handles return format, and the schema covers defaults. The only minor gap is the lack of explicit guidance to use crm_get for single-record retrieval, but that is a usage-guideline concern rather than a completeness gap.

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 six parameters. The description adds no parameter-specific meaning beyond the general 'by filter' phrase, which is already covered by the filter property's detailed schema description. Baseline 3 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 action (find/list) and the resource (leads, deals, contacts, companies) with a filter. It distinguishes this list operation from siblings like crm_get (which fetches a single record) and crm_create/update/delete, making the purpose unambiguous.

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?

The description does not explicitly state when to use this tool versus alternatives, such as crm_get for retrieving a single record by ID. It implies a search/filter use case but provides no exclusions or routing guidance, leaving the agent to infer the distinction.

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