linkedin_reply_to_comment

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It does disclose a key safety behavior: explicit user approval is required before replying. However, it does not disclose that the reply will be publicly posted, whether the action can be undone, or what happens when the confirmed flag is left false. The approval statement adds value but leaves significant gaps.

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 extremely concise with no wasted words. The primary action is front-loaded in the first sentence, and the critical approval requirement is immediately stated in the second sentence.

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?

For a mutating action with no annotations, no output schema, and 0% schema description coverage, this description is incomplete. It does not explain how the confirmed parameter gates the action, what URNs are expected, or how this tool relates to linkedin_list_comments in a typical workflow. An agent would likely need to infer too much to invoke it correctly and safely.

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?

Schema description coverage is 0%, so the description should compensate by explaining parameters, but it does not. The parameter names are partially self-explanatory (post_urn, comment_urn, text), but the meaning and necessity of the confirmed field are unclear, especially since the description says 'requires explicit user approval' without connecting that to the confirmed boolean.

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 uses a specific verb and resource: 'Reply to a specific comment.' This clearly distinguishes the tool from its siblings: it is not for checking auth status, publishing a new post, or listing comments. The word 'specific' also signals that a target comment URN is required.

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?

The description implies the tool is used when the agent needs to post a reply to an existing comment, but it does not explicitly mention alternatives or when not to use it. 'Requires explicit user approval' gives a procedural constraint, but there is no guidance such as 'use linkedin_list_comments first to obtain the comment_urn.'

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.