audit_3d_web_performance

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

With no annotations, the description must carry the behavioral weight. It correctly frames the tool as returning a static checklist rather than performing a live audit, which is important given the tool's name. However, it does not explicitly disclose that it has no side effects, nor does it describe the output format or any potential caveats, leaving some gaps in behavioral transparency.

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, well-structured sentence that leads with the action and then supplies the supporting detail about the checklist's topics. Every clause carries useful information, and the parenthetical list of performance areas provides semantically rich context without bloat.

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 zero-parameter tool with no output schema, the description is largely complete: it states what is returned and previews the checklist contents. The only minor gap is the absence of an explicit statement about the output structure (e.g., list format), but the term 'checklist' and the listed topics give a sufficient mental model for an agent to use the tool correctly.

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 takes 0 parameters and the schema is fully covered, so there is no parameter-specific information needed. The baseline for 0 parameters is 4, and the description adds no parameter semantics because none exist; the tool is a simple, parameterless retrieval.

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 names a specific verb ('Return') and a concrete resource ('the AETumi 3D-web performance checklist'), and elaborates on its content with performance topics (DPR cap, Draco/Meshopt, KTX2, instancing, lazy-init, disposal, reduced-motion). This clearly distinguishes it from sibling tools like list_threejs_recipes and get_threejs_recipe, which are about recipes rather than a performance checklist.

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 clearly conveys when to use the tool (when the agent needs the AETumi 3D-web performance checklist), but it does not explicitly state when not to use it or how it relates to the sibling tools. There are no exclusions or prerequisites to note, so the context is clear though not fully harnessed with explicit alternative guidance.

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