Skip to main content
Glama
generect

Generect Live API MCP Server

Official
by generect

get_lead_by_url

Retrieves B2B lead data from a LinkedIn profile URL, with options to include comments, company matching, people also viewed, and posts.

Instructions

Get Lead by LinkedIn URL

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYesLinkedIn profile URL (e.g., https://www.linkedin.com/in/username/)
commentsNoInclude comments data
inexact_companyNoAllow inexact company matching
people_also_viewedNoInclude people also viewed
postsNoInclude posts data
timeout_msNoRequest timeout in milliseconds
Behavior2/5

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

With no annotations, the description fails to disclose behavioral traits like error handling, rate limits, or side effects. It simply states the tool gets a lead, offering no behavioral insight.

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 extremely concise at 5 words, with no wasted text. It front-loads the purpose, though it could benefit from slight expansion.

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?

Given the tool has 6 parameters and no output schema, the description provides minimal context. It does not explain return values or the effect of optional parameters, leaving some gaps.

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 coverage is 100% and all parameters have descriptions. The tool's own description adds no additional meaning beyond the schema, but the baseline of 3 is appropriate as the schema does the heavy lifting.

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?

The description 'Get Lead by LinkedIn URL' clearly indicates the tool retrieves a lead using a LinkedIn URL. However, it does not differentiate from sibling tools like search_leads, which also deal with leads.

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 guidance is provided on when to use this tool versus alternatives such as search_leads or other siblings. The description lacks context for appropriate usage.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/generect/generect_mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server