trending_topics
What is trending right now on Google in a country.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| country | No | Country code e.g. US, DE, GB, JP (default: US) |
What is trending right now on Google in a country.
| Name | Required | Description | Default |
|---|---|---|---|
| country | No | Country code e.g. US, DE, GB, JP (default: US) |
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
Input schema / additionalPropertiesAdded value: +falseDoes the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden. It implies a read-only query but does not disclose time-window semantics, regional variations, rate limits, or response structure. The single sentence adds little beyond the basic purpose.
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?
The description is one short sentence, front-loaded with the core purpose, and contains no filler or redundant information. It is maximally concise for the information it conveys.
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 tool with one optional parameter and no output schema, the description is serviceable but incomplete: it does not describe what the response contains (e.g., a list of topics, rankings, metadata), and with no annotations there is no safety or behavioral context. It is adequate but leaves gaps.
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?
The schema covers the single 'country' parameter fully with examples and a default, so the parameter meaning is already clear. The description adds only the phrase 'in a country,' which does not provide meaningful additional semantics beyond the schema.
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 clearly states the resource: trending topics on Google for a country. It lacks an imperative verb like 'Get' or 'List' but the intent is obvious. It does not explicitly distinguish from siblings like breaking_now or top_news, but the Google Trends scope differentiates it enough.
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?
No guidance is given on when to use this tool versus siblings such as breaking_now, top_news, or trend_over_time. The description only defines what it does, with no mention of use cases, prerequisites, or when not to use it.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Most tools have distinct purposes, but breaking_now overlaps with top_news and trending_topics, and topic_deep_dive partially overlaps with search_news and trend_over_time. Descriptions generally clarify the differences, making confusion unlikely but possible.
All names use snake_case, but the pattern is mixed: some are verb_noun (search_news, compare_coverage), some are noun phrases (top_news, related_queries), and some are less conventional (breaking_now, topic_deep_dive). This makes the naming somewhat inconsistent but still readable.
The server has 9 tools, which is well within the ideal 3-15 range. Each tool addresses a specific news/trend analysis need without unnecessary bloat, making the set well-scoped.
The tool set covers news search, top headlines, breaking news, trend analysis, related queries, and coverage comparison. Minor gaps exist, such as no direct article content retrieval or source management, but the available tools handle the core domain effectively.