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Get Company Posts

get_company_posts
Read-only

Retrieve recent posts from a company's LinkedIn feed using the company name or full LinkedIn URL. Simplify tracking corporate updates and content.

Instructions

Get recent posts from a company's LinkedIn feed.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
company_nameYesLinkedIn company name (e.g., "docker", "anthropic", "microsoft"). A full company URL is accepted too and is reduced to the slug.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

Annotations already declare readOnlyHint and openWorldHint, so the description only needs to add behavioral context beyond those. It adds the 'recent' scoping and company-feed source, but says nothing about pagination, ordering, result limits, or how recent the posts are. This is adequate but not rich.

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 a single, front-loaded sentence with no wasted words. It conveys the core action and resource clearly in minimal space.

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 single-parameter, read-only tool with an output schema and strong schema parameter documentation, the description covers the essential invocation context. It lacks sibling differentiation, but that is already reflected in the usage dimension; overall, nothing critical is missing for basic correct usage.

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?

Schema description coverage is 100%, and the schema itself explains company_name with examples and URL-slug normalization. The tool description adds no additional parameter semantics, so the baseline of 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific verb and resource: 'Get recent posts from a company's LinkedIn feed.' It clearly identifies the tool's scope as company posts, though it does not explicitly contrast it with related post/feed tools like get_feed or search_posts.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is provided on when to use this tool versus alternatives such as get_feed, search_posts, or get_company_profile. The usage context is only implied by the name and description, with no exclusions or routing hints.

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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