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

No annotations are provided, so the description carries the full burden. It does disclose the dimensions evaluated, which gives some insight into the tool's behavior. However, it doesn't state whether this is a read-only analysis, any side effects, or limitations beyond the min length specified in the schema. It's adequate but not thorough.

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 and front-loaded: 'Analyze content quality across 5 dimensions' immediately states the purpose, followed by a structured list of dimensions. No wasted words or redundant 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?

With an output schema present and full parameter documentation, the description provides enough for an agent to understand the tool's function and inputs. It doesn't explain return values, but the output schema covers that. The missing usage guidance is a separate dimension, so overall completeness is high.

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 coverage is 100%, so the description doesn't need to add parameter details. The description doesn't mention parameters, but the schema fully documents content, platform, and target_audience, so the 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 tool analyzes content quality across five specific dimensions (Clarity, Coherence, Correctness, Completeness, Conciseness). This is a specific verb+resource combination that distinguishes it from siblings like analyze_persuasion or analyze_platform, which focus on different aspects.

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 its siblings. It doesn't mention alternatives or conditions, leaving the agent to infer based on the name and dimensions. For a tool with many siblings, explicit routing is missing.

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