list_faqs
Public FAQ answers with the page they come from.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| topic | No | Optional topic. Defaults to all. |
Public FAQ answers with the page they come from.
| Name | Required | Description | Default |
|---|---|---|---|
| topic | No | Optional topic. Defaults to all. |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full behavioral burden. It implies a read-only public listing and discloses that results carry a source page, but says nothing about pagination, result volume, ordering, or whether a topic with no matches returns empty versus errors.
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 short sentence with no filler, front-loading the resource and its key payload attribute. It is efficient, though it is terse to the point of under-specification rather than genuinely tight.
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 tool with no annotations, no output schema, and no sibling differentiation, the description is too thin. It does not tell an agent when this is the right call versus match_intent or understand_site, nor what an FAQ record actually contains.
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% and the single 'topic' parameter is a documented enum with a stated default of 'all', so the schema does the heavy lifting. The description adds nothing about how topics map to content, which is the baseline-3 case for a fully documented schema.
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 resource ('Public FAQ answers') and adds a hint about payload ('with the page they come from'), so an agent knows it retrieves FAQ content. It never states a verb and does not distinguish itself from siblings like list_services or understand_site, leaving the boundary fuzzy.
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?
There is no when-to-use guidance, no exclusions, and no named alternative among the six siblings. An agent must guess whether to call this or match_intent/understand_site for question-answering needs.
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.