validate_gltf_structure

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

With no annotations provided, the description carries the burden of behavioral disclosure. It adds useful traits: it only inspects headers, verifies specific structures, and handles binary chunks without crashing. However, it does not disclose whether invalid structures produce errors or a report, whether the operation is read-only, or what payment/authorization is required beyond the cost mention.

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 focused sentence with the core behavior front-loaded and the cost placed in an unobtrusive parenthetical. Every element earns its place, and it avoids restating the tool name or repeating schema fields.

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?

Despite being concise, the description is incomplete for an invocation scenario. There is no output schema, yet the description does not explain what a validation result looks like, no error behavior, and no concrete format for the payload (e.g., raw JSON string, file path, base64). The cost note is helpful, but the missing input and return semantics leave a real gap.

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%, and the paymentSignature parameter is reasonably explained. The payload parameter description is generic boilerplate ('Input parameters or JSON string payload'), but the tool description hints that the payload should contain GLTF/GLB data. The description adds little direct parameter meaning beyond 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 uses a specific verb ('Inspects') and resource ('GLTF/GLB JSON chunk headers'), and names the exact artifacts checked (buffers, accessors, meshes). It is clearly a validation tool, which distinguishes it from sibling converters and quantizers, though it does not explicitly name any 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?

The description implies use for validating GLTF/GLB structure, but it provides no explicit guidance on when to use this tool versus alternatives like convert_gltf_to_obj or skeleton_rig_gltf_skin_validator. There are no exclusions, prerequisites, or selection criteria stated.

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