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Hassan220022

harvestapi-mcp

by Hassan220022

harvest_get_comment_replies

Retrieve all replies to a LinkedIn comment by providing its URL. Access paginated responses for complete reply threads.

Instructions

Get replies of a LinkedIn post comment by comment URL.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYesURL of the LinkedIn comment (required)
paginationTokenNoToken from previous page
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 of behavioral disclosure. It only restates the purpose and does not mention pagination behavior, rate limits, or return format. For a read operation this is less severe than a mutation, but still lacks meaningful behavioral context.

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 sentence with no wasted words, front-loading the action and the target. It is appropriately concise for the tool's simplicity.

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

Completeness4/5

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

The tool has only two parameters, one required, and the schema covers them fully. The description states the operation clearly. However, the absence of an output schema and annotations means a brief note on pagination or return value would improve completeness.

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

Parameters3/5

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

Schema description coverage is 100%, so the baseline is 3. The description's mention of 'comment URL' adds no extra meaning beyond what the schema already states. The paginationToken parameter is not elaborated beyond its schema description.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description specifies a concrete verb ('get') and resource ('replies of a LinkedIn post comment') with a clear input criterion ('by comment URL'). It distinguishes itself from sibling tools like harvest_get_post_comments and harvest_get_comment_reactions.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description clearly implies when to use the tool (when you want replies to a specific comment URL), but it does not explicitly state when not to use it or mention alternative tools. Context is clear enough, though exclusions are missing.

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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