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

Annotations already cover the safety profile (readOnlyHint=true, destructiveHint=false, openWorldHint=false), so the description's job is lighter. It adds value by declaring the return payload ('file_id/文件名/行数'), which no structured field provides since there is no output schema. It stops short of noting pagination limits or whether large file lists are truncated.

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 pipe-delimited sections (purpose, USE WHEN, ALIASES, RETURNS) are front-loaded and scannable, with no filler prose. The bilingual duplication doubles the length for a one-line capability, which is the main cost.

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 single-optional-parameter read-only list tool with full annotation coverage, the definition supplies purpose, trigger, aliases, and return fields, which is enough to call it correctly. The only genuine gap is the absence of any routing to a follow-up tool after a file is identified.

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% for the single optional project_id, and the schema already says it is optional and project-scoped. The description adds no further meaning about what project_id filters on or how results behave when it is omitted, so this sits at the schema-driven baseline.

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 and resource ('List the caller's uploaded data files'), and the caller-scoping is stated explicitly. It is clear enough to separate from data-inspection siblings such as dataset_columns or dataset_profile, though it never names a sibling to draw that boundary explicitly.

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?

'USE WHEN: the user asks what data files they have uploaded / available in the workspace' gives a concrete triggering condition, reinforced by a list of user phrasings under ALIASES. There is no when-not clause and no pointer to the tool an agent should use instead once a file is identified (e.g., to inspect columns or profile a dataset).

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