get_own_posts
Retrieve your recent LinkedIn posts. Specify the number of posts to fetch, up to 50.
Instructions
Get your own recent LinkedIn posts
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| count | No | Number of posts to fetch |
Retrieve your recent LinkedIn posts. Specify the number of posts to fetch, up to 50.
Get your own recent LinkedIn posts
| Name | Required | Description | Default |
|---|---|---|---|
| count | No | Number of posts to fetch |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden. It merely states a read operation but omits details like pagination, sorting (by recency?), or any immutability guarantees.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is exceptionally concise (6 words) and directly conveys the core functionality without extraneous information.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's simplicity (one parameter, no output schema), the description is nearly complete. It could mention that posts are returned in reverse chronological order, but the brevity is acceptable.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100% for the single parameter 'count', which is described as 'Number of posts to fetch'. The tool description adds no additional meaning beyond the schema.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool retrieves the user's own recent LinkedIn posts, specifying a distinct resource (own posts) that differentiates it from sibling tools like get_post or get_comments.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to choose this tool over alternatives like get_post or get_comments. The description lacks context for optimal use cases or exclusions.
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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