generate_wordcloud

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

No annotations are provided, so the description carries full burden. It states the tool generates a word cloud image but doesn't disclose important behavioral aspects: whether this is a read-only operation, what happens to the output file, whether there are rate limits, authentication requirements, or performance characteristics. For a tool with 11 parameters and file output, this is a significant gap.

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 extremely concise - a single Chinese sentence that directly states the tool's purpose. There's no wasted language or unnecessary elaboration. It's front-loaded with the core functionality and doesn't include any extraneous 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?

For a tool with 11 parameters, no annotations, and no output schema, the description is inadequate. It doesn't explain what the tool returns (presumably a file path or image data), error conditions, performance expectations, or how the various parameters interact. The single-sentence description fails to provide sufficient context for an AI agent to use this tool effectively despite its complexity.

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 11 parameters thoroughly. The description doesn't add any parameter-specific information beyond what's in the schema. It mentions '文字内容' (text content) which aligns with the 'text' parameter, but provides no additional context about parameter interactions or usage patterns.

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: '根据文字内容生成词云图' (Generate a word cloud image based on text content). It specifies the verb ('生成' - generate) and resource ('词云图' - word cloud image). However, it doesn't differentiate from sibling tools like 'create_wordcloud_from_file' which likely generates word clouds from files rather than direct text input.

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 no guidance on when to use this tool versus alternatives. There are sibling tools ('create_wordcloud_from_file' and 'extract_text_from_file') that likely serve related purposes, but the description doesn't mention them or explain when this direct text input tool is preferable over file-based alternatives.

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