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linkedin_create_comment

Post a comment on a LinkedIn post using the post URN and platform connection ID. Supports text up to 1,250 characters and optional parent comment for nested replies.

Instructions

Post a comment on a LinkedIn post

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
messageYesComment text (max 1,250 characters)
postedIdYesLinkedIn post URN, e.g. 'urn:li:share:123456' or 'urn:li:ugcPost:123456'
platformIdYesPlatform connection ID, e.g. 'linkedin-XxxYyy'
parentCommentNoParent comment URN for nested replies
Behavior2/5

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

With no annotations provided, the description carries the full burden. It only says 'Post a comment', omitting behavioral traits such as idempotency, authentication needs, error handling, or rate limits. The max character limit is in the schema but not highlighted.

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?

Single sentence with no wasted words. Front-loaded with clear verb and resource.

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 output schema and the tool's complexity (4 parameters, including optional threading), the description is too brief. It doesn't explain return values, error scenarios, or authentication requirements.

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 all parameters are documented in the input schema. The description adds no extra meaning beyond what the schema provides. Baseline 3 is appropriate.

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 and resource: 'Post a comment on a LinkedIn post'. It distinguishes from sibling tools like 'create_post' (creating a post) and 'linkedin_create_reaction' (reacting to a post). However, it doesn't mention the ability to create nested replies via 'parentComment', which slightly reduces specificity.

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?

No guidance on when to use this tool versus alternatives. For example, it doesn't contrast with 'linkedin_create_reaction' for reactions, nor does it mention prerequisites like requiring a valid post URN and platform connection ID.

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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