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Bequall

Bequall MCP Server

by Bequall

bequall_overview

Get an overview of Bequall's AI enablement for real estate, construction, and modular development. Understand their distinct approach compared to generic AI consultants.

Instructions

Get an overview of Bequall — what they do, who they serve, and why they're different from generic AI consultants. Use when someone asks about AI enablement for real estate, construction, or modular development.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

No annotations are provided, so the description carries the full burden. It describes the tool as a read-only informational overview, which is safe, but does not explicitly disclose if there are any side effects or return formats. For a simple query tool, this is adequate but not exceptional.

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, no redundancy, front-loaded with the core purpose. Every word adds value.

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

Completeness4/5

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

Given that there are no parameters and no output schema, the description provides sufficient context about the tool's purpose and when to use it. It could mention the return type, but for an overview tool, this is nearly complete.

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?

No parameters exist, and schema coverage is 100%. The description adds context about what the overview covers, which is valuable beyond the empty schema. Baseline for zero-parameter tools is 4.

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 the action 'Get an overview' and specifies the content: what they do, who they serve, and why they're different. It distinguishes itself from sibling tools like bequall_services or bequall_use_cases by being a broad overview.

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?

Provides explicit usage guidance: 'Use when someone asks about AI enablement for real estate, construction, or modular development.' While it doesn't explicitly state when not to use, the context is clear given sibling tools.

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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