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

With no annotations, the description carries the full burden and delivers unusually rich operational detail: 50 MB validated cap, ~32 MB gateway body limit, ~33% base64 inflation, ~20 MB practical inline ceiling, and the failure mode (HTML, not JSON, error from the gateway). It does not cover permission/auth requirements or collision/overwrite behavior for existing templates.

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?

Front-loaded with the template concept and use cases, then formats, then the size/transport caveat; every sentence carries weight. The single dense paragraph with multiple em-dash clauses is heavier to parse than it needs to be, but nothing is redundant.

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 no-annotation, no-output-schema, 5-param mutation tool, the description covers formats, persistence, size limits, error shape, and the large-file alternative. Gaps remain around how user-vs-organization scope is chosen (no scope parameter exists) and what authorization is required.

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 80%, so the baseline is 3, but the description adds real meaning for file_base64 (effective inline size ceiling and inflation math) and for filename (supported extensions drive type detection). The undocumented authorization parameter and the unclear mechanism for selecting user vs organization scope are not compensated for.

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 explains the resource (templates persisted across sessions, user/org scoped) and its intended AI use case, and differentiates from document upload by noting shared formats and from request_upload_url as the escalation path. The verb itself is only implied via the tool name; the text never literally says 'uploads a template,' so it stops short of a full 5.

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?

Names concrete use cases ('boilerplate, branded letterheads, recurring document structures, compliance-required templates') and an explicit alternative with a threshold: use request_upload_url for pre-signed flow beyond ~20 MB of file bytes. Scope (user vs organization) is also stated.

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