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

Annotations already declare readOnlyHint=true and openWorldHint=true, so the safety/openness profile is covered. The description adds that this is GDELT's own curated label set (not free-text), but says nothing about ordering, pagination, or what happens with the limit beyond what the schema states. With annotations carrying the safety burden, 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?

One sentence that front-loads the return value before the downstream usage clause. Every clause earns its place, though the sentence is long and slightly dense for a single-parameter catalog tool.

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 needn't be described, and annotations cover the safety profile. The description adequately covers purpose, provenance, and downstream use for a simple 1-param catalog lookup. The only gap is the absence of an explicit sibling comparison.

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% and the single limit parameter is fully documented in the schema ('Default 100, max 10000', most-frequent first). The description adds no parameter meaning beyond the schema, so 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 states a specific verb ('Return') and resource ('GDELT's own catalog of computer-vision object/activity labels recognized in Television 2.0 AI video'). It clearly conveys what the tool produces. It does not explicitly contrast with the nearest sibling, gdelt_tv_concept_entities, so the agent must infer the object/activity-label vs concept-entity distinction.

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?

It explains the downstream usage well: each label is 'usable directly with the visual parameter ... on gdelt-tv-search, gdelt-tv-timeline, gdelt-tv-stationchart, and gdelt-tv-showchart'. This tells the agent why it would call the tool. However, it gives no explicit when-not guidance or direct alternative selection against sibling catalog tools.

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