Skip to main content
Glama

List regions

list_regions
Read-only

Returns the geo codes Google Trends accepts. With no argument it lists every country; given a country code it lists that country's sub-regions — US states, German states, UK nations — each as a code and a name.

Any code returned here can be passed as the region argument of the other tools.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
countryNoCountry code such as "US", "GB", "TH"; a sub-region such as "US-CA"; or a US metro code such as "807". Empty string means worldwide.

TDQS

A4.5/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and openWorldHint=true. The description adds behavioral context: with no argument it lists all countries; with a country code it lists sub-regions, returning code-and-name pairs. It also clarifies that these codes are acceptable inputs elsewhere, which goes beyond the annotation.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is exactly two sentences, front-loaded with the core purpose, and every clause adds value. No filler or repetition of schema content.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple read-only reference tool with one optional parameter and no output schema, the description fully explains the input/output behavior (list of code/name pairs) and its integration with sibling tools. No critical information is missing.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100% with a detailed description for the `country` parameter. The description adds semantic meaning by explaining the effect of omitting the argument (list all countries) versus supplying a country code (list sub-regions). This complements the schema's format-level details.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific verb and resource: 'Returns the geo codes Google Trends accepts.' It clearly distinguishes itself from trend-analysis siblings by explaining it provides region codes, not trend data. The behavior with and without an argument is also described.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description gives practical usage context: 'Any code returned here can be passed as the `region` argument of the other tools.' This tells the agent when to use this tool (to obtain valid region codes for sibling tools), but it does not explicitly state exclusions or alternatives beyond that implicit guidance.

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

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

TDQS

A4.3/5.0
Disambiguation4/5

Each tool targets a distinct Google Trends data type—regional, temporal, related queries, trending now, topic resolution—so agents can usually tell them apart. However, research_trend overlaps with three of the get_* tools by combining their outputs, so it could be selected instead of a specific tool if the agent wants just one slice. Search topics is clearly separate.

Naming Consistency4/5

Four tools consistently use the get_verb_noun pattern (get_interest_over_time, etc.), but research_trend and search_topics deviate with different verbs while still keeping snake_case verb_noun. The pattern is readable but not perfectly uniform.

Tool Count5/5

Six tools is an appropriate number for a Google Trends server, covering the main interest endpoints plus a convenience aggregator and a topic resolver. Not too many, not too few.

Completeness4/5

The server covers the core Google Trends features: time series, regional breakdown, related queries, trending now, and topic resolution. A notable gap is the absence of a related_topics endpoint (topics related to a keyword), which complements related queries. Overall, the surface is fairly complete for typical trend research tasks.