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BACH-AI-Tools

Li Data Scraper MCP Server

get_company_post_comments

Extract comments from company posts on LinkedIn to analyze engagement and gather insights from professional discussions.

Instructions

Get comments of a company post

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

No annotations are provided, so the description carries the full burden. It states a read operation ('Get'), implying it's likely non-destructive, but doesn't disclose any behavioral traits such as authentication needs, rate limits, pagination, or what happens if the post doesn't exist. This leaves significant gaps for an agent to use it correctly.

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, efficient sentence with no wasted words. It's front-loaded with the core purpose, making it easy to parse quickly. Every word contributes directly to understanding the tool's function.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the lack of annotations and output schema, the description is incomplete. It doesn't explain what the return values are (e.g., comment list format, error handling) or provide enough context for safe usage. For a tool with no structured safety hints, this minimal description is insufficient.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema has 0 parameters with 100% coverage, meaning no parameters are documented in the schema. The description doesn't mention any parameters, which is appropriate here as it implies the tool might operate without inputs or use default/contextual values. This aligns with the schema, so it earns a baseline score of 4 for not introducing confusion.

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 clearly states the action ('Get') and resource ('comments of a company post'), making the purpose understandable. However, it doesn't differentiate from sibling tools like 'get_profile_post_and_comments' or 'get_profiles_comments', which appear to retrieve similar comment data but for different entities (profile vs company).

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?

The description provides no guidance on when to use this tool versus alternatives. With sibling tools like 'get_profile_post_and_comments' and 'get_companys_post', it's unclear when this specific tool is appropriate, and there are no prerequisites or exclusions mentioned.

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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