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JackJProsp

Prosp MCP Server

by JackJProsp

Get Lead

get_lead

Retrieve one lead's profile fields, state, campaign membership, and custom variables by list ID and LinkedIn URL to use imported research signals in copy.

Instructions

Get one lead: profile fields, state, campaign membership, and custom variables.

Custom variables are whatever was imported alongside the lead, so a signal recorded during research shows up here and can be referenced in copy.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
list_idYes
linkedin_urlYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A3.7/5.0
Behavior3/5

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

No annotations are provided, so the description carries the full behavioral burden. It discloses returned categories and explains custom variables, but omits access requirements, error behavior, and side effects; it is a read operation, which limits risk.

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 short sentences, front-loaded with purpose and return categories. The second sentence explains custom variables without redundancy.

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 an output schema, the description covers what the tool returns and explains custom variables. It leaves parameter semantics and operational edge cases unstated, but the output schema handles return details.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0% and neither required parameter is described. The description does not define list_id or linkedin_url or their relationship, leaving the agent to infer meaning from parameter names alone.

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 names a specific verb and resource ('Get one lead') and enumerates the returned scope (profile fields, state, campaign membership, custom variables), which distinguishes it from multi-lead siblings like search_leads. An agent can tell it fetches a single record.

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?

The description implies single-lead lookup but never states when to choose it over search_leads or list_lead_lists, nor any preconditions. Usage is only inferable from the phrase 'one lead'.

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