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

With no annotations at all, the description does real work by disclosing the no-cost, no-API-key operating model and the exact multi-artifact output, which is the main behavioral risk for an agent deciding whether to call it. It still does not say whether generation is deterministic, how long inputs or outputs may be, or whether Bengali text inputs must be in a specific encoding, so mutation-of-input and failure behavior remain undocumented.

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?

It is a single front-loaded sentence that names the free/no-key property first and then the deliverable set, with the scene arc in a compact parenthetical. The one weakness is that the marketing-styled em-dash aside occupies prime position ahead of the actual verb-resource statement.

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?

For an eight-parameter generator with no output schema and no annotations, the description covers what artifacts are produced but not the return shape (single text blob vs. structured scene objects, and whether the .SRT is separately retrievable). Nothing is required to make the call, since all parameters are optional, so the gaps are informative rather than blocking.

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 every one of the eight parameters (tone, category, productName, sceneCount, ctaTextBn, offerPriceBn, deliveryNoteBn, sceneDurationSec) is already documented in the schema with defaults and enums. The description adds no parameter-level meaning beyond that, such as how sceneCount interacts with sceneDurationSec or what an empty category does, 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?

States a specific verb and resource ('Build a multi-scene Bangladeshi Bengali UGC / Video storyboard') and enumerates the artifact set it produces: narration scripts, Banglish phonetic guides, captions, and .SRT subtitles. The Hook -> Problem -> Showcase -> Social Proof -> CTA structure makes the output shape concrete enough to distinguish it from siblings like fahi_generate_srt_subtitles, which produces only one of these artifacts.

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?

Usage is only implied: an agent can infer you call this when you need a full Bengali UGC storyboard rather than isolated TTS, images, or subtitles. There is no explicit 'use this instead of X' routing and no exclusions, and the '100% FREE — Zero API Key Needed' tag is the only selection signal offered.

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