Analyze Data Visualization

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

Annotations provide readOnlyHint=true and openWorldHint=true. The description adds contextual detail about extracting metrics, trends, anomalies, and recommendations, which aligns with read-only behavior. However, it does not disclose potential limitations (e.g., inability to extract specific data points) beyond what annotations imply. No contradictions.

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 sentence of 17 words, front-loaded with the key purpose. Every word is necessary, and there is no repetition or filler. It is concise and well-structured.

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?

Given the presence of an output schema (not shown but mentioned), the description does not need to explain return values. It adequately covers the input and expected output type (insights). However, it could be slightly more specific about the scope (e.g., supporting static charts vs. interactive dashboards), but overall complete.

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 all parameters well. The description does not add meaningful semantics beyond what the schema provides (e.g., it does not explain the 'analysis_focus' parameter or how 'image_detail' affects analysis). Baseline 3 is appropriate.

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 specific verb 'Analyze' and the resource 'charts, graphs, dashboards, and other data visualizations'. It distinguishes from siblings like 'analyze_image' (general) and 'understand_technical_diagram' (technical diagrams), making the tool's purpose unambiguous.

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?

The description implies usage for data visualization analysis but lacks explicit guidance on when to use this tool vs alternatives (e.g., when to use 'analyze_image' instead). There is no mention of when not to use it or prerequisites, leaving the agent to infer context from the tool name and siblings.

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