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varity-labs

Varity MCP Server

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by varity-labs

Show AI Agent Template Details

varity_agent_info

Displays complete configuration details for an AI agent template, including resources, environment variables, cost, and access modes. Helps developers verify prerequisites before deployment.

Instructions

Show full details for a single AI agent template: image, ports, resources, required and optional environment variables, estimated monthly cost, access mode (web/SSH/Telegram), and operator notes. Use this when the developer has picked an agent (or is comparing 2-3) and wants to know exactly what they'll need to provide before deploying. Pass the agent slug from varity_list_agents (one of: hermes, openclaw, agent-zero, autoresearch, eliza-venice).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesThe agent slug. One of: hermes, openclaw, agent-zero, autoresearch, eliza-venice.
Behavior4/5

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

No annotations provided, so description carries burden. It enumerates exactly what information is returned (image, ports, resources, env vars, cost, access mode, operator notes). Implies read-only operation. Could explicitly state no side effects, but overall clear.

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 fluff. First sentence lists contents, second provides usage guidance. Every word earns its place.

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 simple tool with one param, no output schema, no annotations, description sufficiently covers what it returns. Could mention prerequisites like authentication, but likely implicit.

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?

Single parameter 'name' has enum values fully described in schema (100% coverage). Description adds context that the slug should come from varity_list_agents, providing extra value beyond schema.

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?

Description clearly states the tool shows full details for a single AI agent template, listing specific items. It differentiates from sibling tool varity_list_agents by specifying the input comes from that list.

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 when to use: when developer has picked an agent and wants specifics before deploying. Also tells to pass slug from varity_list_agents. Could add when not to use, but current guidance is clear.

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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