optimize_3d_mesh

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

No annotations are present, so the description bears full responsibility. It does disclose a meaningful trait — the 0.05 USDC Base L2 cost — which adds value beyond the schema's bare paymentSignature param. But it stays silent on input format, output shape, and whether the operation mutates or returns new files, leaving the agent to guess the execution contract.

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?

Two efficient sentences: the first front-loads all three operations and the target, the second tucks the cost into a parenthetical. Zero filler — every word contributes, and the cost note is placed where it won't distract from the core purpose.

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 three-operation tool with no annotations and no output schema, the description covers purpose and cost but omits input/output specifics and the payment flow (when the signature is required relative to execution). An agent could call it but without knowing what the payload should contain or what result to expect, completeness is only partial.

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% (payload and paymentSignature both documented). The description's cost disclosure enriches paymentSignature with the amount, but it adds nothing about payload structure or expected GLTF representation. Baseline 3 holds since the schema already handles parameter documentation.

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 three concrete operations (bake normal maps, decimate polycount, Draco-compress) applied to a specific resource (GLTF models) with a clear target audience (3D web engines, spatial metaverses). This distinctly positions it as the all-in-one optimizer versus siblings like mesh_decimate_quadric_simplifier and gltf_draco_mesh_quantizer, which handle single steps.

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 phrase 'for 3D web engines and spatial metaverses' gives target context, implying when this general optimizer fits. However, it offers no explicit routing guidance or exclusions — with dozens of specialized 3D siblings (obj_mtl_to_glb_packer, convert_gltf_to_obj, mesh_decimate_quadric_simplifier), an agent gets no help choosing between the combined tool and the focused alternatives.

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