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Get LinkedIn jobs

linkedin_jobs_get
Read-only

Get LinkedIn job postings by job URL. Returns a list (use cursor when paginated).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlNoLinkedIn job posting URL to look up.

TDQS

A4.2/5.0
Behavior4/5

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

The description adds 'Returns a list (use cursor when paginated),' which discloses the return type and pagination mechanism. Annotations already indicate readOnlyHint=true, so the read-only behavior is covered. The description provides additional behavioral context beyond annotations, though it does not mention the array structure (covered by schema) or potential error cases.

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 short, front-loaded sentences with no redundant fluff. The core purpose is stated first, followed by a concise pagination note. Every word earns its place.

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?

For a fetch-by-URL tool with a read-only annotation and a single parameter fully documented in schema, the description covers the essential points: what it does, that it returns a list, and pagination. It doesn't explicitly mention that it accepts multiple URLs, but the schema handles that. The description is adequate, though it could briefly note that the URL must contain '/jobs/view/' to prevent user error, but that's in the schema already.

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 schema provides full documentation for the 'url' parameter, including the requirement to include '/jobs/view/'. The description's 'by job URL' adds no new semantic meaning beyond the schema, and is slightly misleading by using the singular 'URL' when the parameter is an array. Since schema coverage is 100%, the baseline of 3 is appropriate.

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: 'Get LinkedIn job postings by job URL.' This specifies the verb (get), resource (LinkedIn job postings), and key distinguishing input (job URL). It is unambiguous and distinct from sibling tools like linkedin_jobs_search_list, which search for jobs rather than retrieve by URL.

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 phrase 'by job URL' explicitly conditions usage on having a job URL, which implies that without one, a search tool is more appropriate. While it doesn't name alternatives or state 'when not to use,' the condition is clear enough for an agent to infer that this toolkit is for fetching specific postings when URLs are known.

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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TDQS

B3.4/5.0
Disambiguation5/5

Each tool is clearly scoped to a specific platform and action (e.g., facebook_post_get vs instagram_post_get). Descriptions explicitly differentiate similar tools across platforms, and within-a-platform tools like tiktok_search_videos_list vs tiktok_search_hashtag_list have clear disambiguation notes.

Naming Consistency5/5

All 167 tools follow a strict `platform_resource_action` pattern (e.g., youtube_video_comments_list). No mixing of styles—snake_case throughout, with consistent verb ordering (get, list, search, etc.).

Tool Count2/5

The server has 167 tools, which is far beyond the typical well-scoped range of 3-15. While the broad multi-platform scope justifies many tools, this extreme number makes the tool surface overwhelming and difficult for an agent to navigate efficiently.

Completeness4/5

The tool set covers a wide range of platforms and operations including profile retrieval, post/video fetching, comments, search, transcripts, and ad library access. Minor gaps exist (e.g., no Facebook events or LinkedIn messaging), but the surface is comprehensive for a read-only data aggregation use case.