Skip to main content
Glama
Hassan220022

harvestapi-mcp

by Hassan220022

harvest_search_leads

Search LinkedIn Sales Navigator for leads using advanced inclusion/exclusion filters and 30+ parameters to target the right prospects.

Instructions

Search LinkedIn leads (Sales Navigator) with advanced inclusion/exclusion filters. Supports 30+ filter params.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pageNoPage number (clamped at 100)
geoIdsNoLinkedIn Geo IDs, comma-separated
searchNoSearch query (fuzzy, supports LinkedIn operators)
schoolsNoSchool IDs or URLs, comma-separated (max 50)
lastNamesNoLast names, comma-separated (max 70)
locationsNoLocation text, comma-separated (max 70)
sessionIdNoSession ID for the search
firstNamesNoFirst names, comma-separated (max 70)
functionIdsNoJob function IDs, comma-separated
industryIdsNoIndustry IDs, comma-separated (max 70)
salesNavUrlNoSales Navigator search URL (overrides other params except page)
excludeGeoIdsNoGeo IDs to exclude, comma-separated (max 70)
pastCompaniesNoPast company IDs or URLs, comma-separated (max 50)
pastJobTitlesNoPast job titles, comma-separated (max 70)
excludeSchoolsNoSchools to exclude, comma-separated (max 50)
usePrivatePoolNoSet to true to use private pool
companyHeadcountNoCompany headcount filter, comma-separated
currentCompaniesNoCurrent company IDs or URLs, comma-separated (max 50)
currentJobTitlesNoCurrent job titles, comma-separated (max 70)
excludeLocationsNoLocations to exclude, comma-separated (max 70)
postedOnLinkedinNoLeads who posted on LinkedIn (last 30 days)
profileLanguagesNoProfile languages, comma-separated
requiredAccountIdNoPrivate pool account ID to use
seniorityLevelIdsNoSeniority level IDs, comma-separated
excludeFunctionIdsNoFunction IDs to exclude, comma-separated (max 30)
excludeIndustryIdsNoIndustry IDs to exclude, comma-separated (max 70)
recentlyChangedJobsNoLeads who recently changed jobs (last 90 days)
excludePastCompaniesNoPast companies to exclude, comma-separated (max 50)
excludePastJobTitlesNoPast job titles to exclude, comma-separated (max 70)
yearsOfExperienceIdsNoYears of experience IDs, comma-separated
excludeCurrentCompaniesNoCurrent companies to exclude, comma-separated (max 50)
excludeCurrentJobTitlesNoCurrent job titles to exclude, comma-separated (max 70)
excludeSeniorityLevelIdsNoSeniority level IDs to exclude, comma-separated (max 20)
yearsAtCurrentCompanyIdsNoYears at current company IDs, comma-separated
companyHeadquarterLocationsNoCompany HQ location text, comma-separated (max 70)
excludeCompanyHeadquarterLocationsNoCompany HQ locations to exclude, comma-separated (max 70)
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It only states that the tool 'supports 30+ filter params' without mentioning pagination, result limits, authentication requirements, or return format. This leaves the agent without critical context for invoking the tool correctly.

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 compact, with two sentences that directly state the purpose and scope. The second sentence about '30+ filter params' is a bit redundant with 'advanced inclusion/exclusion filters' but still adds a quantitative detail. No unnecessary filler.

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

Completeness2/5

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

Given the tool's complexity (36 parameters, no output schema), the description is too sparse. It provides no high-level guidance on constructing searches, typical use cases, or return values. The schema handles parameter details, but the description fails to give the agent a broader behavioral and usage context.

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 100% coverage of all 36 parameters with detailed descriptions, so the baseline is 3. The description adds no specific parameter semantics beyond a vague count of filters; it does not clarify relationships like salesNavUrl overriding other parameters (which is already in the schema).

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 uses a specific verb ('Search') and resource ('LinkedIn leads (Sales Navigator)'), clearly distinguishing it from sibling tools like harvest_search_profiles or harvest_search_companies. It also mentions the key feature of advanced inclusion/exclusion filters, which helps the agent understand the tool's scope.

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 usage for searching LinkedIn leads, but it does not explicitly state when to use it over alternatives or mention exclusions. Sibling tool names differentiate by resource type, but no explicit guidance is given about selecting this tool versus others or about handling Sales Navigator URLs versus individual filters.

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/Hassan220022/harvestapi-mcp'

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