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kestiny18

spring-nacos-mcp

nacos_diff_config

Identify configuration differences by comparing a dataId between two environments, returning keys only in each and changed values.

Instructions

Compare one config (dataId) between two environments and return a structured key-level diff: keys only in A, only in B, and changed values. The best tool for questions like 'is X consistent between dev and test?'.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
env_aYesFirst environment
env_bYesSecond environment
data_idYesExact dataId to compare
groupNo
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It only describes the output (structured diff) but does not mention whether the operation is read-only, any authentication needs, or other side effects. For a diff tool, this is a significant gap.

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: first defines the core action and output, second gives a concrete usage example. No wasted words, and the most critical information is front-loaded.

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 absence of an output schema, the description adequately explains the input (two environments and a dataId) and the output (keys only in A, only in B, and changed values). It provides a clear use case. Could be slightly more detailed about the return format, but sufficient for an AI agent.

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?

The input schema covers 75% of parameters with descriptions (env_a, env_b, data_id have descriptions; group lacks one). The description does not add any extra parameter meaning beyond the schema. A baseline of 3 is appropriate since the schema does most of the work.

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 explicitly states the tool compares a config between two environments and returns a structured key-level diff, using a specific question as an example. This clearly distinguishes it from sibling tools like nacos_get_config (single env) or nacos_list_configs.

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 description frames the tool as 'the best tool for questions like is X consistent between dev and test?', which clearly indicates when to use it. However, it does not explicitly state when not to use it or mention alternatives among the listed siblings.

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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