Skip to main content
Glama

Get GDELT TV Trending

gdelt_get_tv_trending
Read-only

Retrieve trending topics, keywords, and phrases currently dominating US television news across national networks. No query required — returns the top memes of the present news cycle. Updated every 15 minutes. Note: the GDELT TV archive feed stopped updating around October 2024; results from this endpoint reflect that most-recent archived data rather than a live feed.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
errorNoPresent when the call failed. Absent on success.
noticeNoRecovery hint when no trending topics were returned. Absent on successful responses.
topicsNoTrending topics sorted by score descending.
totalCountNoTotal number of trending topics returned.

TDQS

A4.7/5.0
Behavior5/5

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

Beyond the readOnlyHint and openWorldHint annotations, the description discloses two important behavioral traits: the feed updates every 15 minutes and, critically, that the GDELT TV archive stopped updating around October 2024, so results are archived rather than live. This is substantial context an agent needs to interpret results correctly.

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 well structured: purpose first, then the no-query clarification, then update cadence, then the important archival caveat. Every sentence provides necessary information without padding.

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 zero-parameter tool with an output schema and readOnly/openWorld annotations, the description provides all essential context: what it returns, the no-query workflow, the update cadence, and the data freshness caveat. Nothing critical is missing for an agent to select and invoke it correctly.

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?

The tool has zero parameters, and the schema covers 100% of that, so the baseline is 4. The description adds the relevant clarification that no query is required, which reinforces the no-parameter nature of the call.

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 uses a specific verb ('Retrieve') and names the exact resource: trending topics, keywords, and phrases currently dominating US television news. It also clarifies there is no query required, which differentiates it clearly from the sibling search tools like gdelt_search_tv.

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 clearly states when to use the tool: when you want current trending memes with no query. The explicit 'No query required' communicates the main use case, though it does not explicitly name alternatives or say 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.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

TDQS

A4.6/5.0
Disambiguation5/5

Each tool serves a distinct purpose: search articles vs. search TV, coverage timelines vs. breakdowns vs. tone distributions, and TV-specific tools for clips, context, trending, and station listing. Even overlapping functions like get_coverage_timeline and get_tone_distribution are clearly differentiated by description.

Naming Consistency5/5

All tools follow the consistent pattern 'gdelt_<verb>_<object>' using snake_case, with verbs limited to get, search, and list. The naming is predictable and uniform, with no mixed conventions.

Tool Count5/5

Nine tools is a well-scoped number for the GDELT domain, covering both text and TV news APIs without redundancy. Each tool adds clear value, and the count is within the ideal 3-15 range.

Completeness5/5

The tool surface covers the core workflows: searching articles and TV transcripts, obtaining coverage timelines and breakdowns, analyzing tone distributions, retrieving TV clips and context, and listing stations. There are no obvious dead ends or missing operations for the stated purpose.