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GigRadar

La Growth Machine MCP Server

by GigRadar

get_lead_conversations

Retrieve all conversations for a specific lead across multiple channels. Consolidate chat history from different platforms into a single view.

Instructions

Get all conversations for a specific lead across channels

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
leadIdYesThe lead ID
Install Server

TDQS

B3.3/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It only states the basic purpose without revealing any behavioral traits such as pagination behavior, ordering, error conditions, authentication requirements, or rate limits. For a tool that returns data across channels, additional transparency is expected.

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 a single, concise sentence with no redundant words. Every word contributes to the purpose, making it easy to parse quickly.

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

Completeness3/5

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

For a simple one-parameter tool with no annotations and no output schema, the description could be considered minimally adequate. However, it lacks details about the return format, potential pagination, or any cross-channel specifics. Given the complexity of 'across channels', more context would improve completeness.

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% (leadId is described as 'The lead ID' in the schema). The description does not add any additional meaning beyond what the schema provides. Baseline score of 3 is appropriate as the schema already documents the parameter adequately.

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 'Get all conversations for a specific lead across channels' with a specific verb (get), resource (conversations for a lead), and scope (all, across channels). This distinguishes it from sibling tools like get_conversation_messages (which gets messages within a conversation) or list_members.

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?

No usage guidelines are provided. The description does not indicate when to use this tool versus alternatives like get_conversation_messages or search_lead, nor does it specify prerequisites or exclusions. The agent receives no context for choosing this tool over others.

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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