list_verticals
List currently exposed vertical slugs.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| access_token | No | ||
| tenant_api_key | No |
Output Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
List currently exposed vertical slugs.
| Name | Required | Description | Default |
|---|---|---|---|
| access_token | No | ||
| tenant_api_key | No |
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description must carry the burden of behavioral disclosure. It only states 'List currently exposed vertical slugs' without mentioning authentication requirements, pagination, rate limits, or side effects. The read-only nature is implied but not explicitly stated.
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?
The description is one short sentence with no filler, efficiently communicating the core purpose. However, it is under-specified, which limits its usefulness despite being concise.
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?
Given the two undocumented parameters and absence of annotations, the description is too thin for correct invocation. The output schema may cover return values, but the lack of parameter semantics and usage context makes the description incomplete.
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 0% and the description says nothing about access_token or tenant_api_key. It fails to explain their purpose, whether they are required, or how authentication works, leaving the agent without necessary context for invocation.
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 uses the specific verb 'List' with the resource 'vertical slugs', making the tool's purpose clear. It distinguishes itself from sibling tools that focus on campaigns, leads, costs, and feedback, and 'currently exposed' adds scope precision.
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 use this tool versus alternatives. It does not mention prerequisites, exclusions, or typical use cases, leaving the agent to infer from the tool name alone.
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.
Each tool targets a distinct resource and action: cost estimation, bulk lead export, campaign status, single lead retrieval, vertical listing, campaign creation, and feedback submission. No two tools have overlapping purposes; even get_campaign and get_lead are clearly separated by campaign vs. lead granularity.
All tool names follow a consistent verb_noun pattern in snake_case (estimate_cost, export_leads, get_campaign, get_lead, list_verticals, run_campaign, submit_feedback). This is a uniform and predictable naming convention.
The server has 7 tools, which is well within the ideal 3–15 range. Each tool serves a clear function in the campaign lifecycle without redundancy, making the count appropriate for the domain.
The server covers campaign creation (run_campaign), reading campaign status (get_campaign), lead access (get_lead, export_leads), cost estimation, and feedback. However, it lacks list_campaigns, update_campaign, and delete_campaign, which are notable gaps for managing multiple campaigns. The core workflow is usable but not a full CRUD surface.