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DarkLvrd

agentic-linkedin

by DarkLvrd

Get feed posts

get_posts

Retrieve recent LinkedIn feed posts with author, text, and publish time to monitor network activity.

Instructions

Returns recent feed posts with id, author, text, and publish time.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
Behavior3/5

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

With no annotations, the description carries the burden of disclosing behavior, and it does state the output fields and read-only nature indirectly through 'Returns'. It does not explain ordering, time range for 'recent', pagination, or the effect of the limit parameter, leaving meaningful gaps.

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?

One sentence, front-loaded with the action and resource, with every word contributing value. There is no redundant or filler content.

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 tool with one optional parameter, the description is close to sufficient: it states the resource and return fields. It lacks explicit behavior for limit, default result count, ordering, and whether 'feed' means the current user's feed, so an agent may need to infer some calling details.

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 description coverage is 0%, and the description does not mention the single 'limit' parameter or clarify how it affects results. The parameter name and min/max bounds provide some information, but the description adds nothing beyond the schema.

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 names a specific action and resource, 'Returns recent feed posts', and lists the returned fields, so an agent can tell it is a read operation for posts. It does not explicitly differentiate it from sibling retrieval tools, but the 'feed posts' scoping is reasonably distinctive.

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?

There is no guidance on when to use this tool versus alternatives such as get_profile, get_conversations, or create_post. The description only states what it returns, leaving the selection decision to inference.

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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