List whitepages
list_whitepagesWhitepages, incl. AI generation status.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| page | No | Page number (default 1) | |
| type | No | ||
| search | No | Filter by name | |
| per_page | No | Rows per page (default 50, max 100) |
list_whitepagesWhitepages, incl. AI generation status.
| Name | Required | Description | Default |
|---|---|---|---|
| page | No | Page number (default 1) | |
| type | No | ||
| search | No | Filter by name | |
| per_page | No | Rows per page (default 50, max 100) |
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 profile is fully covered by structured data. The description adds no behavioral context beyond a vague clause about "AI generation status" — it says nothing about pagination behavior, ordering, default scoping, or what the status field means.
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?
It is a single fragment with zero waste, which is good, but the brevity comes from under-specification rather than tight writing. Nothing is front-loaded beyond the resource name.
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?
This is a paginated, filterable read tool with four parameters, an enum-typed filter, and no output schema, so the description carries real explanatory burden. It does not define the resource, the meaning of the type filter, or what a returned record looks like — an agent cannot confidently call it for a specific filtering intent.
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 coverage is 75%, leaving the `type` enum (uploaded/url/generated) undocumented in both schema and description, which matters because it is the key filter for this tool. The description's "AI generation status" phrase gestures at the `generated` value but does not clarify the enum semantics, and it says nothing about `search`, `page`, or `per_page` beyond what the schema already states.
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 reads "Whitepages, incl. AI generation status", which largely restates the tool name and title rather than naming a verb and resource explicitly. It never explains what a whitepage is or what domain object is being listed, so the agent only knows it returns some collection of "whitepages" from the name itself.
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 mention of prerequisites, and no routing to alternatives among the ~20 sibling list_* tools (list_landings, list_offers, list_domains, etc.). The agent must infer the use case purely from the tool name.
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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