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List LinkedIn company posts

linkedin_company_posts_list
Read-only

List posts from one specific LinkedIn company page by URL (not a keyword search — use linkedin.posts.search.list to search across public posts). Returns a list (use cursor when paginated).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYesLinkedIn company page URL or slug whose posts should be listed.
pageNo1-based results page number. Pagination is page-based; at most 7 pages can be requested for a given company.

TDQS

A3.8/5.0
Behavior2/5

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

The description claims 'use cursor when paginated', but the schema clearly states pagination is page-based. This contradictory instruction could mislead an agent into expecting cursor-based pagination. Beyond that, it adds minimal behavioral detail beyond the annotations (readOnly, openWorld), so it fails to add accurate value.

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 succinct sentences, front-loading the core purpose and alternative, with no wasted words. The structure is efficient and easy to parse.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple read-only tool with two parameters, the description covers the main scenario and returns a list, but the pagination contradiction creates a gap. It also does not describe the output shape beyond 'list', which could be useful, but given the tool's simplicity, it is mostly adequate.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, so the baseline is 3. However, the description misrepresents pagination behavior (cursor vs. page-based), actively confusing the agent about how the 'page' parameter works. It adds no useful clarification and potentially harmful misinformation.

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 lists posts from one specific LinkedIn company page by URL, and explicitly contrasts it with keyword search (linkedin.posts.search.list). This gives a specific verb, resource, and distinguishes it from relevant siblings like search tools.

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?

It explicitly says this is not a keyword search and directs the user to the alternative tool, leaving no ambiguity about when to use it. It also notes that pagination is cursor-based, though this conflicts with the schema.

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.