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agentrix-ai

Uno MCP Stdio

by agentrix-ai

uno_call_tool

Execute a named tool on an MCP server by passing server_name.tool_name and arguments, with automatic connection and OAuth prompts when needed.

Instructions

执行 MCP Server 上的具体工具。

【tool_name 格式】 "server_name.tool_name",例如:

  • amap-maps.maps_weather

  • time.get_current_time

  • github.search_repositories

【自动连接】

  • 普通 server:自动创建连接并执行

  • OAuth server:返回 auth_required + auth_url,用户在浏览器完成授权后重试

【典型流程】 uno_search_tools(query="天气") → 拿到 tools → uno_call_tool(tool_name="amap-maps.maps_weather", arguments={...})

【评分】调用成功后会返回 rating_hint,请调用 uno_rate_server 评分(0-5),帮助优化搜索排名。

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
argumentsYes工具参数,具体参数见各工具的 inputSchema 定义
tool_nameYes要调用的工具全名,格式:server_name.tool_name

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.2.1

TDQS

A4.6/5.0
Behavior4/5

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

With no annotations, the description carries the load well: it discloses automatic connection creation, the OAuth auth_required/auth_url round-trip, the retry requirement, and the rating_hint side-effect. It does not cover failure/error semantics for tool execution itself, which keeps it from a 5.

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?

Bracketed sections front-load identity format, then connection behavior, then workflow, then follow-up scoring. Each block is short and every sentence earns its place; nothing is redundant with the schema.

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 two-parameter dispatcher with a nested free-form arguments object and no output schema, the description covers format, auth, and lifecycle sufficiently. It stops short of describing error handling or response shape, but rating_hint is noted as the notable return signal.

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?

Schema coverage is 100% so the baseline is 3, but the description adds value with concrete tool_name examples (amap-maps.maps_weather, time.get_current_time) and clarifies that arguments follow each tool's own inputSchema — information the schema text alone does not supply.

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 concrete verb+resource (执行 MCP Server 上的具体工具) and immediately defines the identity format for the target tool. The typical-flow section makes clear how it differs from the search/routing siblings (uno_search_tools finds, uno_call_tool invokes).

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

Usage Guidelines5/5

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

The 【典型流程】 block explicitly routes the agent: search first, then call, then rate with uno_rate_server. It also distinguishes normal vs OAuth servers and tells the agent to retry after browser authorization, which is exactly the when/when-not guidance needed.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.