generate_word_cloud_chart

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

Annotations provide readOnlyHint=true, indicating this is a safe read operation. The description adds value by explaining the chart's purpose (visualizing word frequency/weight) and giving example use cases, which goes beyond the annotations. However, it doesn't disclose additional behavioral traits like output format (e.g., image URL, base64), performance characteristics, or error handling. No contradiction with annotations exists.

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, well-structured sentence that efficiently states the purpose and provides an example use case. It's appropriately sized without unnecessary fluff, though it could be slightly more front-loaded by explicitly naming the tool's output (e.g., 'generates a chart image'). Every sentence earns its place.

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 tool's moderate complexity (6 parameters, nested objects) and rich schema coverage (100%), the description is adequate but minimal. It explains the 'what' and 'why' but lacks details on output (no output schema provided), error conditions, or advanced usage. With annotations covering safety, it meets minimum viability but leaves gaps for an agent to fully understand behavioral context.

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 fully documents all parameters. The description adds no specific parameter information beyond what's in the schema. It mentions 'word frequency or weight' which loosely relates to the 'data' parameter but doesn't provide additional syntax, constraints, or examples beyond the schema. Baseline 3 is appropriate given high schema coverage.

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 purpose: 'Generate a word cloud chart to show word frequency or weight through text size variation.' It specifies the verb ('generate') and resource ('word cloud chart') with a functional explanation of how it works. However, it doesn't explicitly differentiate from sibling tools beyond mentioning 'word cloud' specifically, which is implied but not stated as a distinction.

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 provides implied usage context through the example 'such as, analyzing common words in social media, reviews, or feedback,' which suggests appropriate use cases. However, it lacks explicit guidance on when to use this tool versus alternatives (e.g., other chart types in the sibling list) or any prerequisites or exclusions. The guidance is helpful but not comprehensive.

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