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

Annotations already declare readOnlyHint, idempotentHint, non-destructive and closed-world, so the safety profile is covered. The description adds genuinely useful behavior by stating the return shape (a list of ids), which matters because no output schema exists. It says nothing about result limits, ranking, or empty-result behavior, so it remains a middling score.

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?

Two short sentences with no filler, and the primary purpose is front-loaded ahead of the follow-up chaining hint. Nothing is wasted.

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 one-parameter read-only search with no output schema, the description covers the essentials of what it does and what it returns. It falls short on query formatting and on how results differ from the sibling `search_trends`, which an agent must resolve to invoke it well.

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%: the single `query` parameter is typed only as a string with no explanation. The description does not compensate at all — it never says whether the query is a keyword, a phrase, a category name, or natural language, which is exactly the ambiguity the agent needs resolved.

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 gives a concrete verb+resource: "Search Jump on the Trend's AI video trends." That is more specific than the bare title "Search," though it does not distinguish this tool from the sibling `search_trends`, which reads as an overlapping capability.

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 sentence "Returns ids to pass to fetch" implies a chained workflow and effectively tells the agent to call this before `fetch`. However, there is no guidance on when to prefer this over the similarly named `search_trends`, nor any exclusions or prerequisites.

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