understand_and_create_animation

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

With no annotations, the description must fully disclose behavior. It only states it 'generates perfect GSAP code' but omits details like output format, side effects, prerequisites, or limitations (e.g., does it modify files? require authentication?). This is insufficient for a core tool.

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 sentence, which is concise but uses marketing language ('surgical precision') that adds no functional value. It is front-loaded with 'main AI engine,' but the fluff reduces efficiency.

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 complexity (3 parameters with enums, no output schema, no annotations, and multiple siblings), the description is incomplete. It lacks details on return values, error handling, and when to prefer this over siblings like 'create_production_pattern' or 'debug_animation_issue.'

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% (all parameters have descriptions). The description adds no new meaning beyond 'understands any animation request,' which aligns with the 'request' parameter. Thus, it meets the baseline but does not enhance parameter understanding.

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 that this tool 'understands any animation request and generates perfect GSAP code,' which identifies the verb and resource. It positions itself as the 'main AI engine,' distinguishing it from specialized siblings like 'debug_animation_issue' or 'optimize_for_performance.' However, it does not explicitly contrast with each sibling.

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?

No guidance is provided on when to use this tool versus its siblings. The claim 'any animation request' suggests it is the primary tool, but without exclusions or alternative recommendations, the agent lacks decision support.

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