import_trend_csv
Import short-video trend CSV files to load popularity data into vlearn for analysis and reporting.
Instructions
導入短影音熱度 CSV。
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| path | No |
Import short-video trend CSV files to load popularity data into vlearn for analysis and reporting.
導入短影音熱度 CSV。
| Name | Required | Description | Default |
|---|---|---|---|
| path | No |
Changes observed during successful MCP inspections.
v0.1.0Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden, yet it discloses nothing beyond the fact that a CSV is imported. It does not say whether existing trend data is overwritten or merged, what CSV columns/format are required, whether it errors on partial data, or what it returns — all critical for an unannotated mutation tool.
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?
One short sentence with no padding and the key noun front-loaded, so there is no waste. However, the brevity reflects under-specification rather than economy — nothing here earns its place because almost nothing is there.
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?
With no annotations, no output schema, an undocumented optional parameter, and no explanation of import semantics, the definition is far too thin for a data-mutating ingest tool in a pipeline that has 14 siblings.
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 0% and the description never mentions the single `path` parameter. The word 'CSV' weakly implies the parameter is a CSV file location, but there is no statement of whether it is a filesystem path, a URL, or what happens when it is omitted (default null).
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 states a verb-resource pair ("import ... CSV") and narrows 'trend' to short-video popularity data, which is slightly more than the name alone. But it never says what the import does with the data or how it relates to the trend-reading sibling (list_trend_top), leaving the purpose at a vague one-liner.
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?
There is no indication of when to use this tool versus alternatives, no prerequisites, and no note about how imported data relates to list_trend_top or get_report. An agent can only infer usage from the name.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.