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Jrudani21
by Jrudani21

Search Posts

search_posts
Read-only

Search LinkedIn posts globally by keyword to uncover informal hiring announcements and early job signals not yet listed as formal openings.

Instructions

Search LinkedIn posts/content globally by keyword (the "Posts" tab).

Use this to catch informal hiring posts ("we're hiring", "Buscamos ...", "estamos contratando", "join our team") that often appear before a formal job listing exists. This is global content search, distinct from get_feed (your own home feed) and get_company_posts (one company's page).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
keywordsYesSearch keywords (e.g., "Buscamos Unity", "AI automation hiring")
max_pagesNoScroll depth as result "pages" of ~5 scrolls each (1-10, default 3). Content search is an infinite scroll, so this caps how far the page is scrolled rather than fetching discrete pages.
date_postedNoOptional recency filter. One of "past-24h", "past-week", "past-month"; the "past_24_hours" / "past_week" / "past_month" spellings used by search_jobs are accepted too. Omit for any time.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

Annotations already declare readOnlyHint and openWorldHint. The description adds behavioral context by explaining global search scope and contrast with feed/company posts. It does not contradict annotations and provides useful contextual behavior beyond the structured hints.

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 three sentences long, front-loaded with the core purpose, then usage guidance, and finally sibling differentiation. Every sentence earns its place with no redundancy or filler.

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 presence of an output schema, the description does not need to explain return values. It covers the core function, typical use case, and sibling tool distinctions, making it complete for a search tool with strong schema support.

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% coverage with detailed descriptions for all parameters, including the infinite scroll semantics of max_pages and accepted spellings for date_posted. The description itself adds no additional parameter information, so 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 function: 'Search LinkedIn posts/content globally by keyword' and identifies the specific resource ('Posts' tab). It also distinguishes itself from sibling tools like get_feed and get_company_posts, making its purpose unambiguous.

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 explicitly provides a use case ('catch informal hiring posts... before a formal job listing exists') and names alternatives ('distinct from get_feed and get_company_posts'), giving the agent clear guidance on when to choose this tool over others.

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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