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DataForB2B

DataForB2B MCP Server

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by DataForB2B

Search Job Postings

search_jobs
Read-onlyIdempotent

Search LinkedIn or Indeed for job postings by keyword, location, and filters. Identify hiring signals by discovering which companies are recruiting and for what roles.

Instructions

Search job postings on LinkedIn or Indeed by keyword, location, and filters (employment type, remote/onsite, seniority, freshness, employer). Useful for hiring signals: which companies are recruiting for what roles, where.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
countNoNumber of job postings to return.
offsetNoPagination offset.
countryNoCountry for Indeed (e.g. usa, france, uk, germany). Ignored by LinkedIn (uses location).usa
keywordNoSearch keyword (job title, skill, company, ...).
distanceNoSearch radius in miles around the location.
job_typeNoEmployment type.
locationNoLocation, e.g. "Paris, France" or "United States".
platformNoJob platform to search.linkedin
work_typeNoWork arrangement.
company_idsNoComma-separated company ids to restrict the search (LinkedIn only). Accepts encoded org ids (org_xxx, as returned by search_company) and/or raw numeric LinkedIn ids.
date_postedNoPosting freshness.
company_nameNoCompany name to restrict the search. LinkedIn: resolved to the matching company (most-followed) — a strict employer filter. Indeed: used as the search keyword (approximate). Ignored if company_ids is provided.
experience_levelNoSeniority (LinkedIn only).
fetch_descriptionNoInclude the full job description on each result (LinkedIn: slower; Indeed: no extra cost).

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
countNoNumber of job postings returned in this page.
errorNoHTTP-style status code, present only when the call failed.
totalNoNumber of job postings found so far (lower bound when has_next is true).
detailNoError message, present only when the call failed.
offsetNoPagination offset of this page.
resultsNoJob posting objects (title, company, location, salary, dates, description...).
has_nextNoWhether more results are available.
credits_usedNoCredits consumed by this search.
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is established. The description adds the hiring-signal use case and platform scope but does not disclose additional behavioral traits such as pagination behavior, rate limits, or platform-specific response differences. It neither contradicts annotations nor enriches them significantly.

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 two compact sentences with no filler. It front-loads the core action and resource, enumerates the main filter categories, and ends with a practical use-case sentence—each part earns its place.

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 rich annotations (read-only, idempotent), a fully described 14-parameter schema, and the presence of an output schema, the description is sufficient for an agent to understand the tool's scope and value. The hiring-signal context adds orientation beyond what structured metadata provides, making the description complete for this complexity level.

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% description coverage for all 14 parameters, including explicit per-parameter explanations and enum values. The description's filter list (employment type, remote/onsite, seniority, freshness, employer) simply restates a subset of the schema terms without adding new meaning or usage guidance beyond what the schema already provides.

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 the specific verb 'Search' on 'job postings on LinkedIn or Indeed' and enumerates the key filter dimensions (keyword, location, employment type, remote/onsite, seniority, freshness, employer). It clearly distinguishes this tool from sibling tools like search_people, search_company, and search_posts by focusing on job postings and hiring signals.

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 provides useful context about when to use the tool ('Useful for hiring signals: which companies are recruiting for what roles, where') and indicates the platforms it supports. It does not explicitly mention when not to use it or name alternative tools, but the sibling list and the clear platform/resource scope make the intended use obvious.

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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