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

Annotations already establish readOnlyHint=true, destructiveHint=false and a closed-world scope, so the safety profile is covered. The description adds non-obvious behavior the annotations cannot convey: account linking is an out-of-band web action and TikTok targets are not yet supported. Return format details are absent, but the field list partially compensates.

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?

Three short sentences, front-loaded with what is listed and its purpose, with caveats trailing. Slightly fragmented rather than flowing, but nothing is wasted or redundant.

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?

There is no output schema, so the description's enumeration of returned fields is important and provided. For a zero-parameter read tool this is close to complete; the only real omission is disambiguation from the parallel list_channels tool.

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?

With zero parameters the baseline is 4, and the description goes slightly further by naming the payload fields (id, name, default visibility). No input semantics are needed since the schema is empty.

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 ("Lists the user's YouTube channels linked to ClipFlux") and even enumerates the returned fields (id, name, default visibility), so the agent knows exactly what it retrieves. It falls short of 5 because a sibling named list_channels exists and the description never distinguishes the two, leaving ambiguity about which list tool to pick.

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?

It gives clear downstream context ("for post_video") and useful exclusions: linking happens on clipflux.ai, and TikTok posting from chat is unavailable. It does not, however, say when to prefer this over list_channels or what to do if the returned list is empty.

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