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doitintl

DoiT MCP Server

Official
by doitintl

ask_ava_sync

Read-only

Ask about your DoiT account, cloud spending, usage patterns, or infrastructure to identify anomalies and optimization opportunities.

Instructions

Ask DoiT AVA, the cloud cost and infrastructure expert, a question about the user's DoiT account, cloud spending, anomalies, or optimization opportunities. AVA has access to the customer's billing data, usage patterns, and DoiT-specific features. Use this for DoiT or cloud-specific questions only — not for general-purpose AI queries. Note: AVA can take a long time to respond for complex questions. If it does not respond in time, a clear error is returned with guidance to retry or simplify the question.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
questionYesThe question to ask AVA about the user's DoiT account, cloud costs, or infrastructure.
conversationIdNoID of a prior non-ephemeral conversation to continue. Requires ephemeral to be set to false — cannot be used with ephemeral: true (the default).
ephemeralNoWhen true (default), the conversation is not persisted and no conversationId or answerId is returned. Set to false to receive conversationId and answerId in the response, which are needed for follow-up questions or submitting feedback.
Behavior4/5

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

Beyond readOnlyHint=true annotation, description discloses latency for complex questions and error handling behavior. Does not contradict annotations. Could add more about response structure but sufficient.

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 plus a note, no wasted words. Front-loaded with purpose. Every sentence 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 the open-ended Q&A nature with no output schema, description covers usage scope, latency, and error recovery. Could mention follow-up capabilities but overall sufficient.

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 coverage is 100% with clear descriptions for each parameter. Description does not add new parameter details beyond schema. Baseline score adequate.

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 tool's purpose: asking DoiT AVA questions about cloud costs, infrastructure, etc. It specifies the verb 'ask', the resource 'AVA', and the domain, distinguishing it from general-purpose AI queries.

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?

Explicitly states to use only for DoiT or cloud-specific questions, not general AI. Mentions latency and error handling guidance. Lacks explicit sibling tool alternatives but provides clear context boundaries.

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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