index_sugar_msweet

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false. The description adds the source URL and the pandas.DataFrame return type, which is useful context. However, it does not disclose the index composition, update frequency, date coverage, or columns, so behavioral transparency is only partially enhanced beyond the annotations. No contradiction with annotations.

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 extremely concise: a title line, source URL, and return type/intent lines. Every element adds useful information and there is no filler or repetition, making it easy to scan.

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 zero-parameter read-only tool with no output schema, the description gives the source and return type but omits details about the returned dataset's structure, periodicity, units, or update schedule. Since the output schema is absent, a bit more detail about what the DataFrame contains would make the tool more complete.

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?

The tool has zero parameters, so the schema provides no parameter information to supplement. Per baseline for 0-parameter tools, a score of 4 is appropriate; the description doesn't need to elaborate on parameter semantics.

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 identifies the tool as returning the China Sugar Index (中国食糖指数) from Mutian Technology's data center and includes the source URL and return type. While it lacks an explicit verb like 'retrieves' or 'fetches', the title and `:return:` docstring make the purpose reasonably clear. It is distinguishable from sibling sugar quote tools by naming the index rather than quotes, though it doesn't explicitly call out that distinction.

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 provides no guidance on when to use this tool versus alternatives such as index_inner_quote_sugar_msweet or index_outer_quote_sugar_msweet. There are no exclusions, prerequisites, or context cues beyond the source and return type, so an agent receives little help in choosing this tool over related ones.

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