get_post_reposts
Retrieve all reposts of a LinkedIn post using its URL to analyze post sharing and engagement.
Instructions
Get post reposts by post url
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Retrieve all reposts of a LinkedIn post using its URL to analyze post sharing and engagement.
Get post reposts by post url
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations provided, so description carries full burden. It discloses it's a read operation but does not mention return format, pagination, or rate limits. The phrase 'by post url' suggests a parameter that is not in the schema, creating confusion.
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 a single, concise sentence with no redundancy or wasted words.
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 no output schema and zero parameters, the description is too minimal. It does not explain what reposts are, how the post URL is specified (if at all), or what the output contains. The sibling tools provide richer context, but this description falls short.
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?
Input schema has zero parameters, yet the description implies a 'post url' parameter. This mismatch is misleading. Schema coverage is vacuously 100%, but the description adds false expectations.
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 action (Get), the resource (post reposts), and the method (by post url). It distinguishes from siblings like get_post (which retrieves the post itself) and get_post_reactions (which retrieves reactions).
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 on when to use this tool vs alternatives. Given many sibling tools for posts, explicit usage context would help but is missing.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/BACH-AI-Tools/bachai-linkedin-api8'
If you have feedback or need assistance with the MCP directory API, please join our Discord server