List covered topics
list_topicsList the China market-entry topics the chinaready.co corpus covers, with example queries and hub page paths for each.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
list_topicsList the China market-entry topics the chinaready.co corpus covers, with example queries and hub page paths for each.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare the full safety profile (readOnly, idempotent, closed-world, non-destructive), so the description only needs to add operational context. It does add real value by disclosing the shape of each entry (topic + example queries + hub page paths), but says nothing about result size, caching, or freshness of the topic list.
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?
A single sentence that front-loads the verb and resource and packs the useful return-shape detail without any filler. Every clause earns its place.
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 output schema, the description carries the return-value burden, and it does describe what each item contains (example queries, hub page paths). For a zero-param, read-only listing tool this is nearly complete; only result volume/pagination behavior is left unstated.
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 there is nothing to document — the baseline for a no-arg tool. The description correctly signals a parameterless enumeration by framing this as a full listing of covered topics.
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?
States a specific verb (List) and resource (topics covered by the chinaready.co corpus) and even names the payload contents (example queries, hub page paths). It is distinguishable from get_article (fetch one) and search (find by query), though it never explicitly says so.
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?
Usage is implied — a discovery/catalog tool that would naturally precede 'search' — but no when-to-use or when-not-to-use guidance or alternative is stated. Nothing is misleading, but the agent must infer the routing.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
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