analyze_data_visualization

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

No annotations are provided, so the description carries the burden. It states the tool specializes in interpreting visual data representations but does not disclose potential limitations (e.g., image format requirements, handling of multiple images, or that it returns textual insights). The core behavior is clear, but additional context would improve transparency.

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 concise, front-loaded with the main purpose, then usage guidance, then exclusions. Every sentence adds value and there is no redundancy or fluff.

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?

This is a simple tool with no output schema and no annotations. The description adequately covers purpose, scope, and exclusions. It lacks explicit mention of the output format, which would be helpful for the agent, but the core context is complete enough for selection and invocation.

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 each parameter (prompt, image_source, analysis_focus) already has a description. The tool description does not add any extra meaning about parameters, which is acceptable given the schema fully covers them. 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?

The description uses a specific verb and resource: 'Analyze data visualizations, charts, graphs, and dashboards to extract insights and trends.' It clearly distinguishes this tool from siblings like extract_text_from_screenshot and understand_technical_diagram by focusing on data visualizations.

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?

Explicit guidance is provided: 'Use this tool ONLY when the user has a data visualization image and wants to understand the data patterns or metrics.' It also lists exclusions (UI mockups, error messages, technical architecture diagrams), making when/when-not usage very clear.

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