explain_style

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

The description states 'understanding without transformation,' which aligns with the readOnlyHint annotation. It adds context by describing the underlying mechanism (feature thresholds) and the output (human-readable reasons), going beyond what annotations provide.

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, using only two sentences. It front-loads with a clear question and key functionality, with no wasted words.

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 simplicity (no parameters, read-only analysis), the description adequately covers what the tool does and returns. However, it does not detail the format of reasons or potential edge cases, but the output schema likely covers the return value.

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 tool has no parameters, and the input schema is empty with 100% coverage. The description does not need to explain parameters since there are none, and it adds no parameter info, which 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 uses a specific verb phrase 'run feature thresholds' and clearly states the tool returns human-readable reasons for why the project sounds like something. It distinguishes itself from sibling tools like analyze_audio_character or recommend_changes by focusing on explanation without transformation.

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 the tool is for understanding style, but it does not explicitly state when to use it versus alternatives like analyze_audio_character or list_style_fingerprints. No guidance on when not to use it is provided.

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