get_top_trends
Biggest Google trending searches in a country for a month (YYYY-MM) or year (YYYY).
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| period | Yes | ||
| country | Yes |
Biggest Google trending searches in a country for a month (YYYY-MM) or year (YYYY).
| Name | Required | Description | Default |
|---|---|---|---|
| period | Yes | ||
| country | Yes |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are supplied, so the description carries the full behavioral burden. It discloses the accepted period formats, which is real added context, but says nothing about how many trends are returned, ordering/ranking basis, whether results are cached, or what the response shape looks like. For a read-only lookup tool it does not contradict anything, but it stops short of the disclosure a no-annotation tool ideally needs.
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 front-loaded sentence with zero filler; the parenthetical format note is the highest-value piece of information and is placed immediately after the field it clarifies.
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 two-parameter read tool with no output schema, the description covers what the tool returns and how to format the period. The remaining gaps — country value format and result cardinality/ordering — are the ones an agent would need in order to call it correctly on the first try.
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 must compensate for both parameters. It does explain 'period' precisely (YYYY-MM for a month, YYYY for a year), but 'country' is left totally undefined — no indication whether it takes an ISO code, an English name, or another format. Half the parameters are still undocumented.
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 resource and qualifier: 'Biggest Google trending searches in a country for a month or year'. The 'in a country' scope implicitly separates it from get_world_trends, but the description never names that sibling or explains how it differs from get_trending_searches, so the 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?
The description implies the use case (top-N trends for a specific country and time period) but gives no explicit when-to-use rule, no exclusions, and no pointer to the sibling tools that also return trending-search data. An agent must guess at the boundary between this and get_trending_searches.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
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