list_topics
List rule topics (e.g. income_tax, vat) with the number of rules in each.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
List rule topics (e.g. income_tax, vat) with the number of rules in 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 declare readOnlyHint=true and openWorldHint=false, so the safety profile is already covered. The description does add that each topic is returned with a rule count, which is useful return-shape context absent from annotations and the (nonexistent) output schema.
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 front-loaded sentence with the verb first, examples inline, and no filler. Every element 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?
For a zero-parameter, read-only listing tool with no output schema, the description conveys what is returned (topic names plus rule counts), which is sufficient to call it correctly. Minor gaps: no mention of ordering or how topics relate to search_rules.
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 takes zero parameters, so the baseline of 4 applies; there is nothing for the description to clarify beyond what the empty schema already conveys.
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 (rule topics), and gives concrete examples of topic identifiers (income_tax, vat). It doesn't explicitly contrast with siblings like search_rules, but the resource is distinct enough that an agent can distinguish them.
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?
No statement of when to use this versus search_rules or get_rate; usage is only implied by the notion of browsing topics. No prerequisites, ordering, or exclusions are given.
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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