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ZLeventer

linkedin-campaign-manager-mcp

li_get_leadgen_forms

List LinkedIn Lead Gen Forms on an ad account to audit question fields, confirm form state (active/draft/archived), and view thank-you page and landing page details. Helps troubleshoot lead delivery and manage form-campaign associations.

Instructions

List LinkedIn Lead Gen Forms on an ad account. Returns form name, state (ACTIVE/DRAFT/ARCHIVED), the list of questions asked (field type, label, pre-fill source), the thank-you page URL and message, and the associated landing page (if any). Use to audit form question setup, confirm form state before troubleshooting lead delivery, or verify which forms are attached to active campaigns.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
ad_account_idNo
stateNoFilter by form state. ACTIVE forms are live on ads. DRAFT forms are not yet submitted for review.
page_sizeNo
Behavior3/5

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

With no annotations, the description correctly implies read-only behavior by stating it 'lists' and 'returns' data. It does not disclose potential pagination or rate-limiting behavior. The description is adequate but not exhaustive for a list operation.

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 three concise sentences: first states purpose, second lists returns, third gives use cases. No redundant information, and the purpose is front-loaded.

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?

Given no output schema, the description covers the main return values (name, state, questions, thank-you page, landing page). It lacks details on pagination metadata or any potential empty results. Overall, it is mostly complete for a list 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?

The input schema has 33% description coverage (only state has a description). The description adds context for the state parameter (e.g., 'ACTIVE forms are live on ads'), but does not elaborate on ad_account_id or page_size. Coverage is low, but the description partially compensates for state.

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 starts with the specific verb 'List' and resource 'LinkedIn Lead Gen Forms on an ad account'. It enumerates returned fields (name, state, questions, thank-you page, landing page) and provides distinct use cases (audit form setup, confirm state, etc.). This clearly distinguishes it from sibling tools like li_get_campaign or li_get_leadgen_responses.

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 lists three concrete scenarios (audit form setup, confirm state before troubleshooting, verify attached forms) that indicate when to use the tool. However, it does not explicitly state when not to use it or provide alternatives, which would make it a 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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