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Linked-API
by Linked-API

comment_on_post

Leave a comment on a LinkedIn post. Provide the post URL and comment text, optionally specify a company URL to comment on behalf of the company.

Instructions

Allows you to leave a comment on a post (st.commentOnPost action).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
postUrlYesThe LinkedIn post URL to comment on (e.g., 'https://www.linkedin.com/posts/username_activity-id')
textYesComment text, must be up to 1000 characters.
companyUrlNoLinkedIn company page URL. If specified, the comment will be added on behalf of the company. (e.g., 'https://www.linkedin.com/company/acme-corp')
Behavior2/5

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

No annotations exist, so the description must fully disclose behavioral traits. It does not mention authentication requirements, rate limits, idempotency, or side effects (e.g., notifications). The bare action description leaves significant behavioral uncertainty for a mutation tool.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single sentence with no redundant information. It efficiently conveys the core purpose, though it could be slightly more informative without becoming verbose.

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?

With no output schema and no annotations, the description should cover prerequisites, return behavior, and error handling. It does not explain what happens after a successful comment, any constraints (e.g., comment length beyond schema), or failure scenarios, leaving the agent underinformed.

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 coverage is 100% and parameter descriptions are detailed. The tool description adds no additional meaning beyond the schema, meeting the baseline expectation but not exceeding it.

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 ('leave a comment on a post') and includes the internal action name. Although it doesn't explicitly distinguish from siblings like react_to_post, the verb+resource combination is specific and unambiguous given the tool name.

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 (e.g., react_to_post, send_message). Without context on appropriate use cases or exclusions, the agent must infer when commenting is more suitable than reacting or messaging.

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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