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Get lead conversation

get_lead_conversation
Read-only

Returns a lead's full email thread in chronological order: outbound emails (sent, scheduled and unsent drafts) plus inbound replies, each with direction and status. AI reply drafts awaiting review are marked isDraft; edit one with update_reply_draft and send it with send_reply_draft (or a human sends it from the app). Use it to read the back-and-forth with one lead before deciding what to do next.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesThe numeric lead ID (returned when the lead was created)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and openWorldHint=false, so the safety profile is covered. The description adds useful behavioral context beyond that: chronological ordering, inclusion of unsent/scheduled drafts, and the isDraft marker flagging AI drafts awaiting review, plus who can send them.

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?

The description is front-loaded with the return contents and efficiently packs direction, status, and draft behavior into three sentences. The closing sentence about editing/sending drafts is adjacent routing information rather than core to what this tool returns, a minor bit of scope bleed.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no output schema, the description carries the burden of explaining return values and does so thoroughly (thread ordering, direction, status, isDraft marker). An agent has everything needed to call and interpret this read-only 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% and the single parameter is fully documented in the schema as the numeric lead ID returned at creation. The description adds no syntax or format detail beyond that, so the baseline of 3 applies.

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 states a specific verb and resource ('Returns a lead's full email thread') and details the exact composition of the result: outbound sent/scheduled/unsent drafts plus inbound replies with direction and status. This clearly separates it from siblings like get_lead (lead record) and list_replies (cross-lead reply list).

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?

It gives a clear use condition ('read the back-and-forth with one lead before deciding what to do next') and routes follow-up actions to update_reply_draft and send_reply_draft. It lacks explicit when-not-to-use guidance or a direct comparison against get_lead or list_replies, so it stops short of a full 5.

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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