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

With no annotations, the description carries the full burden and does so well: it discloses the 256 KB hard cap and refusal behavior, that data crosses the agent's context, the latency contrast (minutes vs ~0.1s), and the auth/business-header detail on the alternative route.

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-loads the narrow-route warning and uses a clean bulleted routing list. It is slightly long with heavy ALL-CAPS emphasis, but almost every sentence carries routing or constraint information.

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?

No output schema exists, and the description covers everything an agent needs: purpose, size ceiling, transport cost, and explicit alternatives with their prerequisites. Nothing material is missing for correct invocation.

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%, so the schema already documents all three parameters; the description mostly restates them, though 'Filename selects the import template' and the restated size cap reinforce the schema's meaning. Baseline 3 is appropriate when the schema does the heavy lifting.

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?

States a precise verb, resource and scope: import small inline base64 data into an Azquo database via `fileContent`. It explicitly contrasts itself with `import_from_url` and the raw HTTP route, so an agent can distinguish it from siblings without opening schemas.

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?

Gives explicit when-to-use (data exists solely in context and no shell available), when-not-to-use (anything fetchable by URL or when curl is available), and names both alternatives with the conditions that select them. Routing is unambiguous.

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