analyze_typography

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

No annotations are provided, so the description must fully disclose behavior. It does not mention that the tool requires base64-encoded image data, nor what it returns (e.g., a report or scores). It only names the analysis dimensions, offering no insight into side effects, limitations, or output format.

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 description is a single, front-loaded sentence with no unnecessary words. It immediately states the verb and the focus areas, making it highly concise and easy to parse.

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 simple tool with one parameter and no output schema, the description provides the core purpose but leaves out input requirements and return type. Since there are no annotations to fill this gap, the description is minimally sufficient but not fully complete for an AI agent to know what to expect.

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 input schema provides 100% coverage for the single parameter (image_data), describing it as base64-encoded image data. The description does not add further parameter-specific meaning, but since the schema fully documents the parameter, the baseline of 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 clearly states the tool's function: analyzing typography hierarchy, readability, and font usage. It uses a specific verb ('analyze') and resource ('typography'), and the focus on typography naturally distinguishes it from sibling tools like analyze_color_scheme and analyze_layout.

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?

While the description implies usage for typography-related analysis, it does not explicitly state when to use this tool over alternatives, nor does it provide any exclusion criteria or contextual prerequisites. The user must infer from the name and description that it is for evaluating font and text presentation.

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