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

No annotations are provided, so the description carries the full burden, yet it says nothing about side effects, permissions, or irreversibility of posting a public comment. Most critically, it never explains how the target media post is identified, since the schema exposes only an optional notification_message and no post identifier.

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?

A single short, front-loaded phrase with zero padding. It is efficiently sized, though the brevity edges into under-specification rather than true crispness.

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 mutation tool with no annotations and no output schema, the description leaves major gaps: how the target post is resolved, whether the comment is public, and what happens on success. None of that is recoverable from the schema, which only documents the fallback notification message.

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 100% and the single parameter's schema text is already rich (plain text only, used as fallback when a follow-up reply fails). The description adds nothing on top, so the baseline 3 applies.

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 phrase 'Comment on a media post' names a specific verb and resource, so the basic action is clear. However, it does nothing to differentiate this from the sibling 'media_comments' (likely a read of comments on the same resource), so an agent cannot tell the two apart from the text alone.

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?

There is no when-to-use guidance, no prerequisites, and no mention of alternatives such as media_comments or media_like. The agent must infer entirely on its own that this is the write counterpart to reading comments.

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