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

Goes well beyond the annotations by disclosing the exact cost (5 credits per call), that credits are drawn from the signed-in user's Studio99 allowance (an auth/account prerequisite the annotations do not convey), and the precise return shape: multiple public PNG URLs, editable SVG vector URLs, and matching Inkora library artworks.

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?

Front-loads the core capability and then layers usage, outputs, and cost in a logical order with no filler. It is slightly long at five dense sentences, but each carries distinct information.

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 no output schema, the description still explains the return artifacts (PNG and SVG URLs plus library matches) and the credit cost, and it notes the sign-in requirement. For a 5-parameter generation tool this is complete enough for an agent to invoke correctly.

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 the schema already documents text, language auto-detection, mood, style, and use_case. The description reinforces exactness of rendering (conjuncts, matras, ligatures) and gives sample texts, but adds little parameter-level syntax beyond what the schema provides, 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?

States a specific verb and resource (renders text as calligraphy artwork), names the supported languages and typefaces, and describes the output artifacts. It is clearly distinguishable from the sibling tools create_studio99_project and list_styles.

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?

Gives concrete usage contexts (wedding and invitation titles, greetings, names, logos) with examples, and points to the style-listing tool for style ids. It does not state when not to use this tool or compare it against siblings, so it stops short of a full 5.

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