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

Annotations already cover the safety profile (readOnly, idempotent, non-destructive, open world). The description adds non-obvious behavioral detail beyond that: the week-scoped freshness window, and the important asymmetry that new-episode series are only included for English, Korean and Japanese/anime. It does not describe result volume or ordering beyond the limit parameter.

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 core scope statement is front-loaded in the first sentence, followed by example queries and then parameter semantics. The language enumeration is somewhat long but earns its place as a non-enumerated accepted-value list; no sentence is pure filler.

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?

With 0 required parameters, no output schema and an open-world read tool, the description covers the essentials: what is returned conceptually (just-arrived films and shows, plus new-episode series for a subset of languages), along with all three parameter behaviors and defaults. Return ordering and pagination are unspecified, a minor gap for a capped list tool.

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 coverage is 100%, so the baseline is 3, but the description materially supplements the schema for 'language': it lists accepted names (Hindi, Telugu, Bangla, etc.), the special values 'anime' and 'K-drama', and the omit-for-default rule, none of which appear as enums in the schema. This compensates for the absence of enum constraints.

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 (List) and resource (what is new on streaming this week) scoped by language and country, which is far more specific than the tool name alone. It does not, however, address its closest sibling 'whats_new_on', leaving a real risk of ambiguity between the two for an agent choosing between them.

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 grounds usage in concrete example queries ('new Telugu movies on OTT this week', 'new anime this week in India') and explicitly states the default behavior (omit language for the country's main language). It stops short of stating when to prefer this over 'whats_new_on' or 'search_titles', so no exclusion guidance is provided.

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