List fact topics
list_topicsLists the fact topics and how many facts each holds, with the date and fingerprint of the published fact set.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
list_topicsLists the fact topics and how many facts each holds, with the date and fingerprint of the published fact set.
| 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 cover the safety profile (readOnlyHint, idempotentHint, destructiveHint=false, openWorldHint=false), so the bar is lower. The description adds genuinely useful context with no output schema: it discloses that results include per-topic fact counts and the date/fingerprint of the published fact set, hinting at versioning semantics.
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, front-loaded with the verb and resource, then the returned detail. No filler or repetition of the title.
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 parameters, rich annotations, and no output schema, the description carries the remaining burden of explaining returns, which it does by naming topics, fact counts, date and fingerprint. It is nearly complete, though it stops short of noting pagination or ordering behavior.
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 is 4. There is nothing parameter-related the description needs to compensate for.
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 (lists) and resource (fact topics) plus the payload details (fact counts, publication date and fingerprint), so the agent knows exactly what it enumerates. It is clearly distinct from search_facts in resource even without naming a sibling, but it does not explicitly contrast itself with the other tools.
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 by the resource: browse available fact topics rather than search within them. However, there is no explicit when-to-use or when-not-to-use statement and no routing to search_facts or search_site for the cases where the agent actually needs fact contents.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.