get_post_reposts
Retrieve reposts of a LinkedIn post by providing its URL. Get details on who reposted and engagement metrics.
Instructions
Get post reposts by post url
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Retrieve reposts of a LinkedIn post by providing its URL. Get details on who reposted and engagement metrics.
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 are provided, and the description merely states 'Get', implying a read operation but offering no details on behavior, response format, limitations, or pagination. The description adds minimal transparency.
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 very concise at one sentence, but it omits critical information about how the post URL is provided. Conciseness is not beneficial when it leads to incompleteness.
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?
With no parameters, no output schema, and no annotations, the description is severely incomplete. It does not explain how the URL is passed, what data is returned, or any prerequisites, leaving the agent without enough context to invoke the tool correctly.
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?
The input schema has zero parameters, yet the description mentions 'by post url', implying a parameter that does not exist. This contradiction undermines parameter semantics; the description adds confusion rather than value.
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 states 'Get post reposts by post url', clearly identifying the resource (post reposts) and a criterion (by post url). However, the input schema has no parameters defined, making it unclear how the URL is provided. This confusion detracts from clarity.
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 given on when to use this tool versus alternatives such as get_post_reactions or get_post. The description lacks context for appropriate usage.
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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curl -X GET 'https://glama.ai/api/mcp/v1/servers/BACH-AI-Tools/bachai-linkedin-data-api'
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