Google Trends Daily

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

No annotations are provided, so the description carries the full behavioral burden. It discloses one trait beyond the schema — the '(no block)' reliability claim about the RSS endpoint — and that this is a read-style fetch, but says nothing about auth, rate limits, or failure behavior.

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 tight sentence with the core purpose front-loaded and no filler. It is arguably too terse in places — '(no block)' is cryptic — but 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?

An output schema exists, so return values do not need explaining, but the description still omits parameter meaning for a 0%-coverage schema and offers no usage routing against google_trends_interest. For a two-input fetch tool it leaves the agent guessing on both inputs and on tool selection.

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 schema provides no help for the two parameters, and the description never mentions 'hl' or 'geo' at all. The names are conventional Google abbreviations, which keeps this above a 1, but the description adds zero semantic value for the inputs.

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?

States a specific verb+resource (fetch Google daily trending searches) plus the delivery format (RSS) and returned fields (topic, traffic, links). It does not explicitly contrast itself with the sibling google_trends_interest, so sibling differentiation is left to inference.

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 or when-not-to-use guidance, and no mention of the nearby google_trends_interest alternative for trending-vs-interest-over-time use cases. The agent must infer the routing decision from the tool name alone.

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