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

Annotations already declare readOnlyHint, openWorldHint, idempotentHint, and destructiveHint=false, so the description adds useful behavioral context beyond them. It discloses the data source ('csrc.gov.cn's own JSON feed'), sorting ('newest first'), and row contents (decision number, publication date, named parties, link). It does not mention freshness or feed failure behavior, but that is a minor gap for a read-only 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?

The description is longer than minimal but each major section earns its place: source, sorting, row fields, example queries, and disambiguation. It is well-structured and front-loaded, though a few phrases are slightly stylistic rather than strictly informational.

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 simple read-only feed with no output schema, the description is complete: it tells the agent what results contain, how they are ordered, where they come from, and when to prefer another tool. Nothing essential for selecting or invoking the tool correctly is missing.

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%, so the schema already documents page, limit, and since. The description reinforces the 'newest first' ordering but adds no parameter-specific meaning beyond what the schema provides, which matches the baseline for high coverage.

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 the exact resource ('Administrative penalty decisions from the CSRC'), the regulator, the source feed, and the ordering ('newest first'). It also positions the tool against a sibling by stating 'This is securities-market enforcement, not drug regulation — for NMPA announcements use nmpa_updates.'

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 explicitly lists the intents this tool answers: 'recent CSRC enforcement actions', '中国证监会最近的行政处罚', and 'which companies did China's securities regulator penalize'. It also gives an explicit exclusion and alternative, telling agents to use nmpa_updates for NMPA announcements.

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