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Create Firmographic Audience

create_firmographic_audience

Create B2B company firmographic audiences for targeted advertising campaigns. Build audiences based on company attributes (industry, size, revenue) and contact-level criteria.

            ESTIMATE-ONLY MODE:
            Pass estimate_only=true to preview audience size (companies + contacts) WITHOUT creating the audience.
            In this mode the tool returns expectedNumberOfCompanies,
            expectedNumberOfContacts, and cappedContactCount. Default is false (audience is created).

            PREFERRED AUDIENCE TYPE:
            This is the DEFAULT and most commonly used audience type on the Metadata platform.
            When the user asks to create an audience without specifying a type, prefer this tool.
            Only suggest Bombora audiences if get_intent_topics returns available topics.
            Only suggest G2 audiences if G2 is confirmed as connected via get_integrations_status
            and the user specifically requests G2 targeting.

            ALSO KNOWN AS: company audience, target companies, B2B audience, business targeting, account-based audience, ABM list, company targeting

            KEYWORDS: company, companies, audience, target, targeting, B2B, business, firmographic, industry, size, employees, revenue, ABM, account-based, LinkedIn, Facebook

            WHEN TO USE:
            - Default choice when the user wants to create a B2B audience
            - Create targeted B2B audiences for LinkedIn, Facebook campaigns
            - Target companies by industry, size, revenue
            - Target contacts by seniority level and job function
            - Set geographic targeting and contact limits per company

            TARGETING OPTIONS:
            - Industries: Use industry IDs. Examples:
              1=Defense & Space, 4=Computer Software, 6=Internet, 7=Semiconductors, 8=Telecommunications,
              11=Management Consulting, 12=Biotechnology, 41=Banking, 42=Insurance, 43=Financial Services,
              80=Marketing & Advertising, 96=Information Technology & Services, more values in detail in the input schema
            - Employees: "0 - 9", "10 - 49", "50 - 199", "200 - 499", "500 - 999", "1,000 - 4,999", "5,000 - 9,999", "10,000+"
            - Revenue: "$1M - $10M", "$10M - $50M", "$50M - $100M", "$100M - $200M", "$500M - $1B", "$1B+"

            CONTACTS CRITERIA:

Use the following parameters to filter and target specific contacts within accounts:

GEOGRAPHIC TARGETING:

  • location_country_ids: Array of country IDs (e.g., [29] for Brazil, [229] for United States)

  • location_state_ids: Array of state IDs (e.g., [5] for California, [32] for New York)

JOB TITLES:

  • job_title_includes: Array of free text strings to include (e.g., ["Software Engineer", "Manager"])

  • job_title_excludes: Array of free text strings to exclude (e.g., ["Senior", "Lead"])

JOB FUNCTIONS: Valid job function IDs and their labels:

  • 1: Marketing, 2: Sales, 3: Customer Service, 4: Finance, 5: Human Resources, 6: Public Relations

  • 7: Media, 8: Design, 9: Engineering, 10: Operations, 11: Legal, 12: Education

  • 13: Health, 14: Real Estate, 15: Accounting, 16: Administrative, 17: Business Development

  • 18: Community and Social Services, 19: Consulting, 20: Entrepreneurship, 21: Information Technology

  • 22: Military and Protective Services, 23: Product Management, 24: Program and Project Management

  • 25: Purchasing, 26: Quality Assurance, 27: Research, 28: Trades

  • job_function_include_ids: Array of job function IDs to include (e.g., [9] for Engineering)

  • job_function_exclude_ids: Array of job function IDs to exclude

SENIORITY LEVELS: Valid seniority IDs and their labels:

  • 2: Manager, 3: Director, 4: VP, 5: CXO, 6: Unpaid, 7: Training

  • 8: Senior, 9: Owner, 10: Entry, 11: Partner

  • seniority_include_ids: Array of seniority level IDs to include (e.g., [10, 7] for Entry and Training)

  • seniority_exclude_ids: Array of seniority level IDs to exclude

CONTACT LIMITS:

  • contacts_per_company_limit: Maximum number of contacts to target per company (optional). Example: 20

USAGE NOTES:

  • All ID fields (countries, states, job functions, seniorities) use numeric IDs from the platform

  • Job titles are free text strings, not IDs

  • Use include parameters to specify which criteria to target

  • Use exclude parameters to filter out contacts matching specific criteria

  • Combine multiple criteria for precise targeting (e.g., Senior Engineers in California)

  • Criteria are combined with AND logic, so all conditions must be met

CONTACTS CRITERIA PARAMETERS(Usually after other initial audience parameters to be described next):

  • location_country_ids: Array of country IDs (optional)

  • location_state_ids: Array of state IDs (optional)

  • job_title_includes: Array of job title keywords to include (optional)

  • job_title_excludes: Array of job title keywords to exclude (optional)

  • job_function_include_ids: Array of job function IDs (optional)

  • job_function_exclude_ids: Array of job function IDs (optional)

  • seniority_include_ids: Array of seniority level IDs (optional)

  • seniority_exclude_ids: Array of seniority level IDs (optional)

  • contacts_per_company_limit: Maximum contacts per company (optional)

              PARAMETERS:
              - name: Audience name (required) - **IMPORTANT: Name MUST NOT exceed 50 characters. This is a mandatory requirement.**
              - industries: Array of industry IDs (optional)
              - employees: Array of employee count ranges (optional)
              - revenue: Array of revenue ranges (optional)
    
              RETURNS:
              Audience details with ID, size estimation, and creation status.
    
              COMMON USE CASES:
              - Target software companies with 50-500 employees
              - Find companies in specific industries with revenue ranges
              - Build audiences with contact-level filtering (seniority, job function, location)
              - Combine firmographic and contact criteria for precise B2B targeting
    
              IMPORTANT NOTES:
              - **CRITICAL: Audience name MUST NOT exceed 50 characters - this is mandatory and will cause creation to fail if exceeded**
              - name is the only required parameter
              - All other parameters are optional for flexible audience creation
              - Contact criteria fields work the same as in G2 metadata dynamic audiences
              - Audience size depends on firmographic filters and applied contacts criteria

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesAudience name (required)
revenueNoRevenue ranges. Valid enum values: LESS_THAN_1M ($0-$1M), FROM_1M_TO_10M ($1M-$10M), FROM_10M_TO_50M ($10M-$50M), FROM_50M_TO_100M ($50M-$100M), FROM_100M_TO_200M ($100M-$200M), FROM_200M_TO_500M ($200M-$500M), FROM_500M_TO_1000M ($500M-$1B), OVER_1000M ($1B+)
employeesNoEmployee count ranges. Valid enum values: LESS_THAN_10 (0-9), FROM_10_TO_50 (10-49), FROM_50_TO_200 (50-199), FROM_200_TO_500 (200-499), FROM_500_TO_1000 (500-999), FROM_1000_TO_5000 (1,000-4,999), FROM_5000_TO_10000 (5,000-9,999), OVER_10000 (10,000+)
industriesNoIndustry IDs for firmographic/technographic filtering (optional). Valid IDs: 1=Defense & Space, 3=Computer Hardware, 4=Computer Software, 5=Computer Networking, 6=Internet, 7=Semiconductors, 8=Telecommunications, 9=Law Practice, 10=Legal Services, 11=Management Consulting, 12=Biotechnology, 13=Medical Practice, 14=Hospital & Health Care, 15=Pharmaceuticals, 16=Veterinary, 17=Medical Device, 18=Cosmetics, 19=Apparel & Fashion, 20=Sporting Goods, 21=Tobacco, 22=Supermarkets, 23=Food Production, 24=Consumer Electronics, 25=Consumer Goods, 26=Furniture, 27=Retail, 28=Entertainment, 29=Gambling & Casinos, 30=Leisure, Travel & Tourism, 31=Hospitality, 32=Restaurants, 33=Sports, 34=Food & Beverages, 35=Motion Pictures & Film, 36=Broadcast Media, 37=Museums & Institutions, 38=Fine Art, 39=Performing Arts, 40=Recreational Facilities & Services, 41=Banking, 42=Insurance, 43=Financial Services, 44=Real Estate, 45=Investment Banking, 46=Investment Management, 47=Accounting, 48=Construction, 49=Building Materials, 50=Architecture & Planning, 51=Civil Engineering, 52=Aviation & Aerospace, 53=Automotive, 54=Chemicals, 55=Machinery, 56=Mining & Metals, 57=Oil & Energy, 58=Shipbuilding, 59=Utilities, 60=Textiles, 61=Paper & Forest Products, 62=Railroad Manufacture, 63=Farming, 64=Ranching, 65=Dairy, 66=Fishery, 67=Primary/Secondary Education, 68=Higher Education, 69=Education Management, 70=Research, 71=Military, 72=Legislative Office, 73=Judiciary, 74=International Affairs, 75=Government Administration, 76=Executive Office, 77=Law Enforcement, 78=Public Safety, 79=Public Policy, 80=Marketing & Advertising, 81=Newspapers, 82=Publishing, 83=Printing, 84=Information Services, 85=Libraries, 86=Environmental Services, 87=Package/Freight Delivery, 88=Individual & Family Services, 89=Religious Institutions, 90=Civic & Social Organization, 91=Consumer Services, 92=Transportation/Trucking/Railroad, 93=Warehousing, 94=Airlines/Aviation, 95=Maritime, 96=Information Technology & Services, 97=Market Research, 98=Public Relations & Communications, 99=Design, 100=Non-profit Organization Management, 101=Fundraising, 102=Program Development, 103=Writing & Editing, 104=Staffing & Recruiting, 105=Professional Training & Coaching, 106=Venture Capital & Private Equity, 107=Political Organization, 108=Translation & Localization, 109=Computer Games, 110=Events Services, 111=Arts & Crafts, 112=Electrical & Electronic Manufacturing, 113=Online Media, 114=Nanotechnology, 115=Music, 116=Logistics & Supply Chain, 117=Plastics, 118=Computer & Network Security, 119=Wireless, 120=Alternative Dispute Resolution, 121=Security & Investigations, 122=Facilities Services, 123=Outsourcing/Offshoring, 124=Health, Wellness & Fitness, 125=Alternative Medicine, 126=Media Production, 127=Animation, 128=Commercial Real Estate, 129=Capital Markets, 130=Think Tanks, 131=Philanthropy, 132=E-learning, 133=Wholesale, 134=Import & Export, 135=Mechanical Or Industrial Engineering, 136=Photography, 137=Human Resources, 138=Business Supplies & Equipment, 139=Mental Health Care, 140=Graphic Design, 141=International Trade & Development, 142=Wine & Spirits, 143=Luxury Goods & Jewelry, 144=Renewables & Environment, 145=Glass, Ceramics & Concrete, 146=Packaging & Containers, 147=Industrial Automation, 148=Government Relations. Example: [4, 96, 11] for Software, IT Services, Consulting
estimate_onlyNoIf true, do NOT create the audience — only estimate its size and return the counts. Use this when the user wants to preview how many companies/contacts match the criteria before committing. Defaults to false (audience is created).
job_title_excludesNoFree text keywords for job titles to exclude (optional). Example: ['Senior', 'Lead']
job_title_includesNoFree text keywords for job titles to include (optional). Example: ['Software Engineer', 'Manager']
location_state_idsNoState IDs for geographic targeting (optional). Valid US State IDs: 1 (Alabama), 2 (Alaska), 3 (Arizona), 4 (Arkansas), 5 (California), 6 (Colorado), 7 (Connecticut), 8 (Delaware), 9 (Florida), 10 (Georgia), 11 (Hawaii), 12 (Idaho), 13 (Illinois), 14 (Indiana), 15 (Iowa), 16 (Kansas), 17 (Kentucky), 18 (Louisiana), 19 (Maine), 20 (Maryland), 21 (Massachusetts), 22 (Michigan), 23 (Minnesota), 24 (Mississippi), 25 (Missouri), 26 (Montana), 27 (Nebraska), 28 (Nevada), 29 (New Hampshire), 30 (New Jersey), 31 (New Mexico), 32 (New York), 33 (North Carolina), 34 (North Dakota), 35 (Ohio), 36 (Oklahoma), 37 (Oregon), 38 (Pennsylvania), 39 (Rhode Island), 40 (South Carolina), 41 (South Dakota), 42 (Tennessee), 43 (Texas), 44 (Utah), 45 (Vermont), 46 (Virginia), 47 (Washington), 48 (West Virginia), 49 (Wisconsin), 50 (Wyoming), 52 (District of Columbia). Example: [5] for California, [32] for New York
location_country_idsNoCountry IDs for geographic targeting (optional). Valid IDs: 1 (Afghanistan), 2 (Albania), 3 (Algeria), 4 (American Samoa), 5 (Andorra), 6 (Angola), 7 (Anguilla), 8 (Antarctica), 9 (Antigua and Barbuda), 10 (Argentina), 11 (Armenia), 12 (Aruba), 13 (Australia), 14 (Austria), 15 (Azerbaijan), 16 (Bahamas), 17 (Bahrain), 18 (Bangladesh), 19 (Barbados), 20 (Belarus), 21 (Belgium), 22 (Belize), 23 (Benin), 24 (Bermuda), 25 (Bhutan), 26 (Bolivia), 27 (Bosnia and Herzegovina), 28 (Botswana), 29 (Brazil), 30 (British Indian Ocean Territory), 31 (British Virgin Islands), 32 (Brunei), 33 (Bulgaria), 34 (Burkina Faso), 35 (Burundi), 36 (Cambodia), 37 (Cameroon), 38 (Canada), 39 (Cape Verde), 40 (Cayman Islands), 41 (Central African Republic), 42 (Chad), 43 (Chile), 44 (China), 45 (Christmas Island), 46 (Cocos Islands), 47 (Colombia), 48 (Comoros), 49 (Cook Islands), 50 (Costa Rica), 51 (Croatia), 53 (Curacao), 54 (Cyprus), 55 (Czech Republic), 56 (Democratic Republic of the Congo), 57 (Denmark), 58 (Djibouti), 59 (Dominica), 60 (Dominican Republic), 61 (East Timor), 62 (Ecuador), 63 (Egypt), 64 (El Salvador), 65 (Equatorial Guinea), 66 (Eritrea), 67 (Estonia), 68 (Ethiopia), 69 (Falkland Islands), 70 (Faroe Islands), 71 (Fiji), 72 (Finland), 73 (France), 74 (French Polynesia), 75 (Gabon), 76 (Gambia), 77 (Georgia), 78 (Germany), 79 (Ghana), 80 (Gibraltar), 81 (Greece), 82 (Greenland), 83 (Grenada), 84 (Guam), 85 (Guatemala), 86 (Guernsey), 87 (Guinea), 88 (Guinea-Bissau), 89 (Guyana), 90 (Haiti), 91 (Honduras), 92 (Hong Kong), 93 (Hungary), 94 (Iceland), 95 (India), 96 (Indonesia), 98 (Iraq), 99 (Ireland), 100 (Isle of Man), 101 (Israel), 102 (Italy), 103 (Ivory Coast), 104 (Jamaica), 105 (Japan), 106 (Jersey), 107 (Jordan), 108 (Kazakhstan), 109 (Kenya), 110 (Kiribati), 111 (Kosovo), 112 (Kuwait), 113 (Kyrgyzstan), 114 (Laos), 115 (Latvia), 116 (Lebanon), 117 (Lesotho), 118 (Liberia), 119 (Libya), 120 (Liechtenstein), 121 (Lithuania), 122 (Luxembourg), 123 (Macau), 124 (Macedonia), 125 (Madagascar), 126 (Malawi), 127 (Malaysia), 128 (Maldives), 129 (Mali), 130 (Malta), 131 (Marshall Islands), 132 (Mauritania), 133 (Mauritius), 134 (Mayotte), 135 (Mexico), 136 (Micronesia), 137 (Moldova), 138 (Monaco), 139 (Mongolia), 140 (Montenegro), 141 (Montserrat), 142 (Morocco), 143 (Mozambique), 144 (Myanmar), 145 (Namibia), 146 (Nauru), 147 (Nepal), 148 (Netherlands), 149 (Netherlands Antilles), 150 (New Caledonia), 151 (New Zealand), 152 (Nicaragua), 153 (Niger), 154 (Nigeria), 155 (Niue), 157 (Northern Mariana Islands), 158 (Norway), 159 (Oman), 160 (Pakistan), 161 (Palau), 162 (Palestine), 163 (Panama), 164 (Papua New Guinea), 165 (Paraguay), 166 (Peru), 167 (Philippines), 168 (Pitcairn), 169 (Poland), 170 (Portugal), 171 (Puerto Rico), 172 (Qatar), 173 (Republic of the Congo), 174 (Reunion), 175 (Romania), 176 (Russia), 177 (Rwanda), 178 (Saint Barthelemy), 179 (Saint Helena), 180 (Saint Kitts and Nevis), 181 (Saint Lucia), 182 (Saint Martin), 183 (Saint Pierre and Miquelon), 184 (Saint Vincent and the Grenadines), 185 (Samoa), 186 (San Marino), 187 (Sao Tome and Principe), 188 (Saudi Arabia), 189 (Senegal), 190 (Serbia), 191 (Seychelles), 192 (Sierra Leone), 193 (Singapore), 194 (Sint Maarten), 195 (Slovakia), 196 (Slovenia), 197 (Solomon Islands), 198 (Somalia), 199 (South Africa), 200 (South Korea), 201 (South Sudan), 202 (Spain), 203 (Sri Lanka), 205 (Suriname), 206 (Svalbard and Jan Mayen), 207 (Swaziland), 208 (Sweden), 209 (Switzerland), 211 (Taiwan), 212 (Tajikistan), 213 (Tanzania), 214 (Thailand), 215 (Togo), 216 (Tokelau), 217 (Tonga), 218 (Trinidad and Tobago), 219 (Tunisia), 220 (Turkey), 221 (Turkmenistan), 222 (Turks and Caicos Islands), 223 (Tuvalu), 224 (U.S. Virgin Islands), 225 (Uganda), 226 (Ukraine), 227 (United Arab Emirates), 228 (United Kingdom), 229 (United States), 230 (Uruguay), 231 (Uzbekistan), 232 (Vanuatu), 233 (Vatican), 234 (Venezuela), 235 (Vietnam), 236 (Wallis and Futuna), 237 (Western Sahara), 238 (Yemen), 239 (Zambia), 240 (Zimbabwe), 241 (Guadeloupe). Example: [29] for Brazil, [229] for United States
seniority_exclude_idsNoSeniority level IDs to exclude (optional). Valid IDs: 2-11 as listed above
seniority_include_idsNoSeniority level IDs to include (optional). Valid IDs: 2 (Manager), 3 (Director), 4 (VP), 5 (CXO), 6 (Unpaid), 7 (Training), 8 (Senior), 9 (Owner), 10 (Entry), 11 (Partner). Example: [10, 7] for Entry and Training
job_function_exclude_idsNoJob function IDs to exclude (optional). Valid IDs: 1-28 as listed above
job_function_include_idsNoJob function IDs to include (optional). Valid IDs: 1 (Marketing), 2 (Sales), 3 (Customer Service), 4 (Finance), 5 (HR), 6 (PR), 7 (Media), 8 (Design), 9 (Engineering), 10 (Operations), 11 (Legal), 12 (Education), 13 (Health), 14 (Real Estate), 15 (Accounting), 16 (Administrative), 17 (Business Development), 18 (Community Services), 19 (Consulting), 20 (Entrepreneurship), 21 (IT), 22 (Military Services), 23 (Product Management), 24 (Program/Project Management), 25 (Purchasing), 26 (QA), 27 (Research), 28 (Trades). Example: [9] for Engineering
contacts_per_company_limitNoMaximum number of contacts to target per company (optional). Example: 20

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.9/5.0
Behavior5/5

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

Despite annotations indicating openWorldHint=true and destructiveHint=false, the description provides substantial behavioral context: estimate_only mode prevents creation, name length constraint (50 chars) is mandatory, AND logic for combining criteria, and note that contact criteria work like G2 audiences. These go beyond annotations and add critical operational details. No contradiction with annotations.

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 very long, but nearly every section serves a purpose: targeting options with enumerations, parameter examples, usage notes, and important caveats. It is logically structured with clear headings (e.g., ESTIMATE-ONLY MODE, PREFERRED AUDIENCE TYPE, CONTACTS CRITERIA). Some redundancy exists (e.g., CONTACTS CRITERIA section is repeated twice, name length mentioned twice), which prevents a perfect score, but it remains well-organized and front-loaded with key differentiators.

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

Completeness5/5

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

Given the tool's high complexity (14 parameters) and no output schema, the description is exceptionally comprehensive. It covers all parameter domains with examples and valid values, explains special modes (estimate_only), provides routing to alternatives, and anticipates common use cases. An agent has everything needed to correctly invoke the tool. Minor missing information about pagination or error handling is negligible given the exhaustive detail.

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

Parameters5/5

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

The schema coverage is 100%, but the description adds immense value by providing human-readable labels for all enums (e.g., '$1M - $10M' for FROM_1M_TO_10M, '0-9' for LESS_THAN_10), industry IDs and their names, job function IDs with labels, seniority IDs with labels, and country/state ID examples. This goes far beyond the schema's descriptions, enhancing understanding and correct usage.

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 the tool's purpose: creating B2B firmographic audiences for advertising campaigns, with specific attributes (industry, size, revenue) and contact-level criteria. It distinguishes itself from siblings by explicitly noting it is the default and most commonly used audience type, and it provides alternatives (Bombora, G2) with conditions. This goes beyond a generic verb+resource and is specific enough for an agent to differentiate without opening the schema.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description includes a clear WHEN TO USE section and explicitly states when to prefer alternatives: 'Only suggest Bombora audiences if get_intent_topics returns available topics' and 'Only suggest G2 audiences if G2 is confirmed as connected via get_integrations_status'. This is explicit guidance on when not to use this tool and when to use siblings, making it exemplary.

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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