china_real_estate_2026

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

No annotations are provided, so the description bears full responsibility for behavioral disclosure. It mentions a cost of '$0.03 USDC per request,' which is a useful trait. However, it does not clarify if the tool is read-only, if it has rate limits, or if it requires authentication, leaving gaps in transparency.

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 short (two sentences) and front-loads the core purpose. The second sentence adds a practical cost detail. While more structure could help, it is efficient and avoids extraneous content.

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?

There is no output schema, so the description should explain what the tool returns. It only says 'analysis' without specifying format (text, data, etc.). The parameter usage is not elaborated beyond the schema, and the description lacks completeness for a tool with two parameters and no output schema.

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 baseline is 3. The description adds minimal extra meaning beyond the schema—it only implicitly connects the focus areas to the enum values. No additional details are given for the 'city' parameter, which the schema already describes as a 'Specific city or region.'

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 states it provides 'China property market rebound analysis covering policy effects, investment opportunities, and risk assessment for 2026.' It specifies the verb 'analysis' and resource 'China property market rebound.' While it distinguishes from general tools like 'asia_news_api', it does not explicitly differentiate from closely related siblings like 'china_silver_economy' or 'lying_flat_report', but the focus on 2026 rebound is specific enough.

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 implies this tool is for analyzing the China property market rebound in 2026, but it does not provide explicit guidance on when to use it versus alternatives. No when-not conditions or sibling comparisons are mentioned, leaving the agent to infer usage from context.

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