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Integrated AI

About Integrated AI

about_integrated_ai
Read-onlyIdempotent

Return a short public description of Integrated AI, the Foundation price ($12,000 for the first 10 seats, plus $500 per additional seat), the Partner retainer prices ($1,500, $2,000, or $2,500 a month), and links to the Foundation page, the booking page, and brad@integrated-ai.com.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
topicNoOptional: overview, foundation, retainer, or contact.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is covered. The description adds useful behavioral context by disclosing the return payload's contents (specific prices and links), which goes beyond what the annotations provide.

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

Conciseness4/5

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

A single dense sentence, front-loaded with the core verb and resource. It is somewhat long due to enumerating every price and link, but each clause carries real information, so waste is minimal.

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-required-parameter, read-only lookup with no output schema and full annotation coverage, the description supplies everything needed to invoke and interpret it, including the exact return contents. Nothing material is missing.

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

Parameters3/5

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

Schema description coverage is 100% and only one optional parameter exists, so the schema already documents the topic parameter and its allowed values. The description's mention of Foundation/retainer/contact content loosely maps to those topic values but adds no syntax or format detail beyond the schema. Baseline 3 applies.

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?

States a specific verb (return) and enumerates exactly what resource content is produced: the public description, Foundation pricing, Partner retainer pricing, and three links. An agent knows precisely what this tool yields without opening the schema, and it is clearly distinct from the sibling tools.

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

Usage Guidelines3/5

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

Usage is only implied: the tool is a read-only 'about' lookup, and the topic parameter hints at selectable subtopics. The description gives no explicit when-to-use, when-not-to-use, or alternative routing, so guidance remains inferential rather than stated.

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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