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ilhankilic

YaparAI MCP Server

by ilhankilic

list_customers

Retrieve and filter your CRM customer list from social media conversations. Search by name, email, or phone, and filter by platform or tag.

Instructions

List CRM customers with optional filtering.

Browse your customer database built from social media conversations. Supports search, platform filtering, and tag-based filtering. Requires enterprise subscription. No credits charged.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
searchNoSearch by customer name, email, or phone
platformNoFilter by platform ("instagram", "facebook", "whatsapp")
tagNoFilter by customer tag (e.g., "vip", "lead", "returning")
org_idNoOrganization ID (uses YAPARAI_ORG_ID env var if not provided)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

The description discloses data source (social media conversations), filtering capabilities, subscription constraint, and cost. No annotations provided, so the description fully addresses behavioral traits; no contradictions.

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?

Three sentences with no redundancy: first states purpose, second adds context, third gives usage notes. Front-loaded and efficient.

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 4 parameters and no annotations, the description covers purpose, filtering, and subscription. Missing details like pagination or limit, but overall sufficient.

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?

Schema coverage is 100% with parameter descriptions. The description adds context about the customer database source and subscription, supplementing the schema. However, org_id is not mentioned in the description.

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 it lists CRM customers with optional filtering, distinguishing it from siblings like get_customer (single customer) and sync_customers_from_inbox (import).

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 explains when to use (browse customer database) and mentions enterprise subscription requirement and zero credit cost, but does not explicitly state when not to use or name alternatives.

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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