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meta_jobs_search

Search Meta's public careers site by team, technology, location, employment type, or remote status. Returns matching job openings with optional filters.

Instructions

Meta Jobs search. Searches Meta's public careers site (metacareers.com) via its own anonymous jobsearch GraphQL endpoint, with the same team/technology/location/employment-type/keyword/remote/sort filters the live search page offers. All filters are optional and combine with AND semantics; an empty request returns Meta's entire open-requisition catalog in one response. q matches team, technology, location, or ref/req-code names -- it is NOT a free-text search over job titles or descriptions. teams enum (org teams + technologies, both use the same field): Advertising Technology, AR/VR, Artificial Intelligence, Business Development & Partnerships, Communications & Public Policy, Creative, Data & Analytics, Data Center, Design & User Experience, Enterprise Engineering, Global Operations, Infrastructure, Internship - Business, Internship - Engineering, Tech & Design, Internship - PhD, Legal, Finance, Facilities & Admin, People & Recruiting, Product Management, Research, Sales & Marketing, Security, Software Engineering, Technical Program Management, University Grad - Business, University Grad - Engineering, Tech & Design, University Grad - PhD & Postdoc, Facebook, Messenger, Instagram, WhatsApp, Meta Quest. roles enum: Full time employment, Internship, Short term employment. results_per_page enum: all, five, ten.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
qNoFacet-name keyword: matches team, technology, location, or ref/req-code -- not a title/description search
rolesNoRepeatable employment-type filter (OR); see roles enum above
teamsNoRepeatable team-or-technology filter (OR); see teams enum above
officesNoRepeatable location-id filter (OR) in Meta's own id format, e.g. menlo-park, london -- not a closed enum
sort_by_newNoSort newest-first instead of relevance
is_remote_onlyNoRestrict to remote-only postings
results_per_pageNoResponse size cap: all, five, ten
Behavior4/5

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

With no annotations provided, the description carries the full burden. It discloses the anonymous endpoint, the empty-request behavior (returns entire catalog), the AND filter semantics, and the limitation of q. It does not mention response format or potential rate limits, but it provides meaningful behavioral context beyond the schema.

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 long, but almost every sentence provides necessary information, especially the enum lists that are absent from the schema. The structure is logical: purpose, semantics, then parameter details. It is front-loaded with the core action and follows with essential constraints. The length is justified by the complexity.

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?

The description covers the endpoint, filter behavior, empty-request behavior, q semantics, and enums. It does not explicitly describe the response format, but the lack of an output schema suggests the agent must infer it. Given the complexity and the absence of annotations, this is a highly complete description, with minor gaps around return value structure and potential errors.

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?

Schema coverage is 100%, so the baseline is 3. The description adds significant value by providing the full enum lists for teams and roles, which the schema lacks, and by clarifying q's special semantics (not free-text). It also explains that all filters are optional and combine with AND, adding meaning beyond the raw schema descriptions.

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 searches Meta's public careers site via a specific GraphQL endpoint. It names the resource (metacareers.com) and the action (search), and distinguishes it from sibling tools like meta_jobs_job and meta_jobs_list by focusing on the search/filter behavior.

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 explains when to use the tool (searching Meta jobs with filters) and provides important behavioral guidance, such as the q parameter not being a free-text title/description search and the AND semantics for combining filters. However, it does not explicitly mention alternatives like meta_jobs_job or meta_jobs_list, nor does it state when not to use this tool.

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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