Questions owners ask
faqLarkella's answers to the questions business owners ask first (AI disclosure, phone numbers, pricing approach, putting callers through to a person).
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
faqLarkella's answers to the questions business owners ask first (AI disclosure, phone numbers, pricing approach, putting callers through to a person).
| 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 readOnlyHint=true, idempotentHint=true, destructiveHint=false and openWorldHint=false, so the safety and determinism profile is fully covered by structured data. The description's only added value is naming the content topics, which is modest; it says nothing about whether the answers are static or dynamically generated, nor about length or structure.
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 with the content type stated first and the covered topics parenthesized, so nothing is buried. It could gain a clause about when to prefer it over siblings at no real length cost.
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 tool with rich annotations and no output schema, the description covers the essentials. The remaining gap is routing: an agent facing 'about', 'get_started', and 'faq' has no basis in the description for choosing among them.
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 there are no parameter semantics to explain and the baseline of 4 applies. The description correctly implies a single, unfiltered content fetch rather than suggesting any hidden arguments.
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 identifies the resource (a fixed set of FAQ answers) and enumerates the topics covered (AI disclosure, phone numbers, pricing, call transfers), so an agent knows roughly what content comes back. However, it is noun-phrase only with no verb, and it does nothing to distinguish this from the sibling tools 'about' and 'get_started', which plausibly return overlapping introductory content.
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 guidance on when to call this versus 'about' or 'get_started', which are the obvious alternatives for introductory information. The topic list hints at coverage but never states a selection condition or exclusion.
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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