Jobs — Opens the Worklittle jobs MAP for a place and an optional role. This is a map query, not a list of jobs: the map recenters on the place and shows jobs there, so send the place and the role as SEPARATE fields. Never write 'product manager in San Francisco' as one query. PLACE: always pass near_lat + near_lng (the city's coordinates, which you know) and location as the display name (e.g. 'San Francisco, CA'). radius_km 25-50 for a city. If the user names no place, omit all place fields; the map opens at the user's approximate (IP-based) area. When a nearby search runs short, results widen to the rest of the country and then worldwide (search.scope says which: near, country or world), so say where the roles are. ROLE: query holds only the job title text (e.g. 'product manager') and may be omitted for 'any job'. Search Worklittle job listings. People say Worklittle plus a role, city, company, or filters (or just 'jobs') — they will not name this tool. Call it whenever they want Worklittle jobs. Search by keyword, company, location, job type, seniority, or recency. Use for ANY industry (retail, finance, healthcare, tech, etc.). Search matches title and filter text (substring / FTS), not vector embeddings. Role / title text goes in query (+ optional keywords). The API matches job TITLE substrings only for that text — it does not mix company names into the same field. Preserve negative title terms with a leading dash, e.g. 'software engineer, -senior' excludes titles containing senior. Use company for employer slugs (include or exclude). Never concatenate many job titles into one query unless the user supplied comma-separated roles. Do not add seniority_level, stacks, or resume-derived terms unless they asked. Omit seniority_level unless they explicitly name a level as an inclusion filter (never infer from profile). Expand abbreviations only; umbrella phrases use neutral roles and/or company slugs. Umbrella or vague phrases ('big tech', 'FAANG', 'top retailers'): interpret intent, then one search_jobs with comma-separated company slugs and/or a broad role query — prefer one API call over many. company MUST be employer slug(s): bare slugs include (OR), e.g. meta,google,apple. Prefix a slug with '-' to exclude, e.g. -lucid-motors,-tesla. Same leading-dash rule as title negatives, but in company not query. Expand 'no car companies' / 'don't show Lucid' into -slug tokens. Never pass display names as query. If unsure of slug, try lowercase hyphenated brand. Add skills or stack to query/keywords only when the user mentioned them — not from profile by default. When an include company filter returns 0 results, try a broader query (drop include company, use role keywords) before telling the user nothing matched. Pass cursor from a previous response to paginate. Search is anonymous. Do not call get_account, apply, or ask the user to Connect to search or skip. Connect / OAuth is only when they apply. After the map renders, briefly say what was found and where (listed pay shows on each job). For visa / H-1B: set visa_sponsorship to 'yes' (plus optional query). Postings must be explicitly tagged. When visa_sponsorship is set and posted_within_days is omitted, do not apply the default 7-day recency cutoff — tagged visa roles are sparse. For regional / nearby intent: near_lat, near_lng, radius_km (e.g. 50–65). Prefer this over the location substring when coordinates are known. For two or more metros in one user message (e.g. SF or NYC), pass location_or as comma-separated place names — one API request matches ANY listed place. Do not use near_* for multi-metro; use location_or or location with 'or' between cities. Recency: set posted_within_days from the user's words — today/just posted → 1; past few days → 3; this week → 7; past two weeks → 14; this month → 30. Omit when they did not mention timing (defaults to the last 7 days, the map's default). Set 0 only when they want any age / no date limit. Never put today/new/this week into query. Filters are the same as the map's filter chips, and nothing else: posted_within_days (Past 24 hours / 3 / 7 / 14 / 30 days), seniority_level (Experience: intern, entry/new grad, senior, manager, director/executive), employment_type (Type: full-time, part-time, contract), and visa_sponsorship (Visa). Prefer no filters: use one only when the user explicitly asks for it, because each filter shrinks the results a lot. For remote-only jobs send remote: true (and no place fields). There is no salary, hybrid, or benefits filter. If the user asks to filter by salary, search without it and say they can see salaries on the map (listed pay shows on each job).
