bond_sh_buy_back_em

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

Annotations already declare readOnlyHint=true, openWorldHint=true, idempotentHint=true, and destructiveHint=false, covering safety. The description adds that it returns a pandas.DataFrame, but does not disclose other behavioral aspects like real-time status or whether it returns the full universe of instruments. Minimal extra context beyond structured fields.

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 compact: a title line, a source URL, and return type documentation. It is front-loaded and contains no filler words, making it easy to parse at a glance.

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?

Given zero parameters and no output schema, the description is largely sufficient: it names the data source, market segment, and return type. However, it omits any details about columns or data frequency, which would be useful for an agent to fully understand the returned data without additional inference.

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?

There are zero parameters, so schema coverage is trivially 100%. The baseline for 0 params is 4, and the description does not need to explain any parameters—it remains appropriately silent on that front.

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 clearly identifies the tool as returning Shanghai Exchange pledged repo data from East Money, with a specific URL and return type. The name and description distinguish it from the sibling bond_sz_buy_back_em (Shenzhen) and historical buyback variants.

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 gives clear context: it is for Shanghai pledged repo from a specific East Money page. It does not explicitly name alternatives or exclusions, but the 'sh' in the name and the explicit '上证' make the Shanghai scope and primary use case obvious.

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