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

With no annotations, the description carries the full behavioral burden. It implies a read-only, side-effect-free reference fetch ('get ... guidance'), which is low risk, and 'comprehensive' hints at volume, but it says nothing about the shape, size, or format of what comes back and no output schema exists to fill that gap.

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 or repetition. It is efficient, though it is arguably under-sized rather than optimally sized given the guidance opportunities available.

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 a zero-parameter, read-only guide fetch with no output schema, the description is minimally sufficient. It does not say what topics the guidance covers or how it relates to the other guide tools, leaving the agent with only a general sense of scope.

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?

The tool takes zero parameters, so per the rubric the baseline is 4. There is nothing for the description to disambiguate, and it correctly avoids inventing parameter language.

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 ('get ... guidance on writing ... prompts') with a clear domain qualifier ('AI video generation'). It is clear what the tool returns, but it never distinguishes itself from the near-identical sibling get_image_prompt_guide or from get_creative_tips/get_storytelling_guide, so an agent must infer the split.

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 guess it should call this before composing a video generation prompt. There is no explicit when-to-use trigger, no when-not-to-use, and no mention of the adjacent guide tools it overlaps with (get_image_prompt_guide, get_creative_tips).

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