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Wizeb AI-Native Index

Ask about Wizeb

ask_about_wizeb
Read-onlyIdempotent

Answers questions about Wizeb — what it builds (custom AI agents, workflow automation, voice AI, document AI, web & mobile apps, AI cost/token optimisation, database reactivation), its products (RemindAvo, ReviewTaker, Wizot Agent Studio, Orbit, EatRight, TrueTime, Karmic, Voice AI), industries served, case-study results, engagement/pricing/timeline FAQs, open-source tools, recent blog posts, and contact details — and about WebCastle, Wizeb's parent company (website, web & mobile app, ERP/CRM/Odoo, e-commerce and IoT development; branding and UI/UX; digital marketing, SEO/GEO, performance marketing; cloud & security; business analysis), including which company to contact for what. Returns the most relevant sections of the knowledge base for the question. Use this instead of answering from memory.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
questionYesThe user's question about Wizeb or WebCastle

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 and idempotentHint; the description adds meaningful behavior by saying it 'Returns the most relevant sections of the knowledge base for the question', disclosing the output nature and grounding. Nothing in the description contradicts the annotations.

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?

The description is long but dense; the central verb, resource, and return behavior are front-loaded. The extensive product and service enumeration is verbose but earns its place for a broad knowledge-base tool.

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?

For a one-parameter Q&A tool with no output schema, the description supplies scope, return behavior, and a usage directive, which is enough for a model to call it correctly. It does not address routing relative to sibling list/report tools, a minor gap.

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?

The schema already covers the single 'question' parameter fully, so the baseline is 3. The description adds value by enumerating valid question categories, such as products, industries, pricing FAQs, and the parent company, which makes the parameter's acceptable content concrete.

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

Purpose4/5

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

The description uses a concrete verb ('Answers questions') and clearly names the twin resources 'Wizeb' and 'WebCastle', with an explicit enumeration of covered topics. It is easy to tell what the tool does, though it does not explicitly differentiate itself from the sibling list/report tools.

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 instruction 'Use this instead of answering from memory' is a clear when-to-use directive, and the topic enumeration tells the agent what kinds of inputs belong. However, it does not name alternatives such as list_wizeb_services_and_products or state when not to use the tool.

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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