Skip to main content
Glama

Agrus.ai — Enterprise AI Agency

list_verticals

list_verticals

Lists Agrus's seven year-one verticals (healthcare, insurance, legal, private equity, family offices, corporate intelligence, pro sports) with compliance pins, sample use cases, and the sequencing rationale. Use this for the 'do they work in my industry?' question.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

A4.3/5.0
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries full burden. It discloses the output content (list of verticals with details) but does not mention any behavioral traits like pagination, data freshness, or side effects. For a simple read-only list, this is adequate but not enhanced.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences with zero waste. Every phrase is meaningful: lists the verticals, specifies what details are included, and provides usage guidance.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a zero-parameter list tool with no output schema, the description fully covers what it does, what it returns, and when to use it. Sibling tools are provided for context. No critical missing information.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

There are no parameters (schema coverage 100%), so baseline is 4. The description adds value by hinting at output content (compliance pins, use cases, rationale), which helps an agent understand what to expect.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states it lists exactly seven specific verticals with compliance pins, sample use cases, and sequencing rationale. It uses a specific verb 'Lists' and resource 'verticals', making the purpose unambiguous.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description explicitly provides the use case: 'Use this for the "do they work in my industry?" question.' This gives clear context, though it does not explicitly exclude alternatives or mention when not to use it.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

TDQS

A4.1/5.0
Disambiguation4/5

Tools are largely distinct: case studies, services, verticals, compliance, quote, proposal, and scoping. There is minor overlap between request_proposal and scope_poc (both lead to engagement but at different stages), but detailed descriptions help differentiate them.

Naming Consistency3/5

Names follow a verb_noun pattern but use a mix of verbs (get_, list_, query_, request_, scope_) without a unified convention. This is readable but lacks consistency.

Tool Count5/5

Seven tools is appropriate for an enterprise AI agency MCP server. They cover discovery, compliance, pricing, and formal engagement without being overwhelming or too sparse.

Completeness4/5

The tool set covers the main workflow from learning about the agency to requesting a proposal. Minor gaps include lack of a general contact tool or status tracking, but these are not critical for the stated purpose.

Resources