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I-Bot MCP

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ibot_read_custom_fields

Read custom fields (Company, Email, CRM, etc.) from an I-Bot chat via the internal panel API to retrieve stored contact data without opening a browser.

Instructions

Lê os campos personalizados de um chat no I-Bot (Empresa, Email, CRM, etc). Usa a API interna do painel — não abre navegador. Latência: <1s. Requer session.json (execute login.js primeiro).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
chat_idYesID do chat (hash de 24 caracteres). Obtido via ibot_get_chat_link ou ibot_list_chats.
only_filledNoSe true, retorna apenas os campos que têm valor preenchido.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

A3.7/5.0
Behavior4/5

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

With no annotations, the description carries the full burden and does reasonably well: it discloses the transport (internal panel API, no browser), expected latency (<1s), and an auth prerequisite (session.json, run login.js first). It does not explicitly confirm read-only/non-destructive behavior or rate limits, leaving a modest gap.

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?

Three short sentences, front-loaded with the core action before operational details (API, latency, auth). Every sentence adds operational value; there is no filler or repetition.

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 simple two-parameter read with no output schema, the definition covers purpose, auth prerequisite, and transport mechanism adequately. The only modest gap is return-format behavior, which is minor for a straightforward field read.

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 both chat_id and only_filled are already fully documented by the schema. The description adds no parameter-specific syntax or format detail beyond that, making the baseline 3 appropriate.

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?

States a specific verb (reads) and resource (custom fields of a chat) with concrete examples (Company, Email, CRM), which distinguishes it from the sibling ibot_read_tags. It doesn't explicitly name the alternative, so it stops short of a 5, but the purpose is unambiguous.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No explicit when-to-use vs when-not guidance, and it doesn't contrast with ibot_read_tags or ibot_read_messages. It does hint at usage context by noting the auth prerequisite and that chat_id comes from ibot_get_chat_link or ibot_list_chats, which is implied routing rather than stated guidance.

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