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

With no annotations available, the description carries the burden of behavioral disclosure. It adds useful behavior beyond the schema by explaining that the tool restricts to one framework, is faster than full analysis, and specifies what each framework evaluates. It does not discuss side effects or auth, but this is a non-destructive analytical tool and the performance/scope disclosure is meaningful.

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 short, front-loaded with the core purpose, and uses a bulleted list for framework details. Every sentence earns its place with no filler or repetition of schema content.

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 output schema exists and parameters are fully documented, the description covers the essential decision-making information: what the tool does, when to use it, and the framework options. It is slightly light on explicit routing to alternative siblings, but the 'full analysis' contrast provides enough context for correct selection.

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 baseline is 3, but the description adds real value by explaining each framework enum value in behavioral terms (e.g., 'hape: Engagement Analysis (novelty, relevance, emotional valence)'). This goes beyond the bare enum labels in the schema.

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 opens with a specific verb and resource: 'Analyze content using a single specific framework.' It immediately distinguishes itself from the broader analysis siblings by emphasizing the single-framework scope and provides a concrete list of framework options, so an agent can tell this apart from analyze_content or analyze_full_comms.

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 gives a clear usage condition: 'Faster than full analysis when you only need one perspective.' This implies when to prefer this tool over a full multi-framework analysis, though it does not explicitly name the alternative tool or state when not to use it.

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