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by ad.getle
OverviewDiscussionsAdmin

Draft a reply with Getlead AI

draft_reply
Read-onlyIdempotent

Ask Getlead to draft an answer to a lead using the conversation context. Returns plain text you can edit before sending with send_reply. Nothing is sent by this tool.

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": {
      "email": "<email>"
    },
    "name": "draft_reply"
  }
}

Input Schema

NameRequiredDescriptionDefault
emailYesLead's email
campaign_idNoCampaign id if known

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false. The description adds valuable context beyond these: it returns 'plain text you can edit' and guarantees no side effects ('Nothing is sent'), which helps an agent understand the tool's behavior.

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?

Two sentences with no wasted words: the action is front-loaded, followed by the return format and the side-effect guarantee. Every sentence earns its place.

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?

For a 2-parameter tool with no output schema, the description covers what it returns (plain text), what it does not do (send), and the intended workflow (edit before sending with send_reply). Nothing essential is missing.

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 both email and campaign_id already documented in the schema. The description does not add parameter-specific detail beyond 'using the conversation context', 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 ('draft'), a clear resource ('an answer to a lead'), and the method ('using the conversation context'). It also distinguishes itself from send_reply by explicitly noting 'Nothing is sent by this tool', 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 Guidelines4/5

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

The description names send_reply as the follow-up tool and clarifies the boundary with 'Nothing is sent by this tool', implying a draft-then-send workflow. It does not explicitly state when not to use alternatives, but the intended usage context is clear.

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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