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

Annotations already declare readOnlyHint=true and openWorldHint=true, so the safety profile is covered. The description adds that output is frequency-ranked and that the corpus is US television news via GDELT's Television 2.0 AI API, but discloses nothing further about auth, limits, or how empty results behave. With annotations carrying the load, a 3 is appropriate.

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 no filler that states output, scope, and data source. It is efficient, though the absence of any usage sentence means brevity comes partly at the cost of guidance.

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 need no explanation, and annotations cover the safety profile. However, for a 17-parameter tool with many closely named siblings, the description omits selection guidance, leaving the agent to infer when a word cloud beats a timeline or search.

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 100%, so all 17 parameters are already documented in the schema, including the required channel enum values and station list. The description only reinforces that a single match channel drives the cloud; it adds no format or syntax detail beyond the schema, so the baseline 3 applies.

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 names a specific output artifact ('frequency-ranked word/label cloud') and its scope ('one match channel across matching US television news clips'), so an agent can tell what it produces. However, it does not differentiate itself from close siblings like gdelt_tv_search or gdelt_tv_timeline, which also operate over the same TV clip corpus.

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 named alternative among the gdelt_tv_* siblings. The phrase 'for one match channel' hints at the channel parameter's role but never states the conditions under which a word cloud is the right tool versus a timeline, chart, or search.

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