List verticals
list_verticalsVerticals in the catalog with the number of offers in each, and the traffic types offers accept.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
list_verticalsVerticals in the catalog with the number of offers in each, and the traffic types offers accept.
| 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 establish readOnlyHint=true and openWorldHint=false, so safety is covered. The description contributes the return shape (per-vertical offer counts and traffic types), which matters because there is no output schema, but it says nothing about ordering, scale, or whether the list is complete.
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 dense sentence with no filler, and the payload description is front-loaded. The fragment construction (no leading verb) is a minor structural weakness.
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 no-argument, read-only enumeration tool with no output schema, the description adequately conveys what comes back. Only the absence of any guidance on using the result alongside search_offers keeps it from a 5.
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 for the description to compensate for. No misleading parameter implications are present.
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?
Identifies the resource (verticals in the catalog) and the payload it returns (offer counts per vertical, plus accepted traffic types). It is a noun phrase rather than a verb phrase, but it is specific enough to distinguish it from siblings like search_offers and get_network_info.
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 statement of when to call this versus search_offers or get_network_info, and no prerequisites or exclusions. The agent must infer that this is a reference/enumeration lookup for taxonomy discovery.
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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