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apollo-mcp-server

apollo-mcp-server

by iceycn
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Remote

update_item

Update a configuration item's value in Apollo Configuration Center. Optionally create the item if missing, requiring a creator name.

Instructions

修改配置项。createIfNotExists 为 true 时不存在则创建，此时 dataChangeCreatedBy 必填。

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "appId": "<appId>",
      "env": "<env>",
      "clusterName": "<clusterName>",
      "namespaceName": "<namespaceName>",
      "key": "<key>",
      "value": "<value>",
      "dataChangeLastModifiedBy": "<dataChangeLastModifiedBy>"
    },
    "name": "update_item"
  }
}

Input Schema

NameRequiredDescriptionDefault
appIdYes
envYes
clusterNameYes
namespaceNameYes
keyYes
valueYes
dataChangeLastModifiedByYes
createIfNotExistsNo可选
dataChangeCreatedByNocreateIfNotExists 时必填
commentNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

C2.9/5.0
Behavior2/5

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

With no annotations, the description carries the full burden. It discloses the conditional creation behavior and required parameter dependency, but lacks information on side effects, authorization needs, idempotency, or error states. Minimal behavioral context.

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?

Extremely concise: two sentences that convey the core purpose and a key conditional rule. No wasted words; front-loaded with the primary action.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the complexity (10 parameters, no output schema, no annotations), the description is insufficient. It does not explain parameter semantics for most fields, provide usage examples, or clarify response behavior. Large gaps remain.

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 low (20%); only two parameters have descriptions. The description adds meaning by explaining the conditional creation logic and the dependency on dataChangeCreatedBy, but leaves the other eight parameters completely undocumented.

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?

Description states it modifies a configuration item, which is clear and actionable. It also explains the conditional creation behavior. However, it does not explicitly distinguish from sibling tools like create_item or delete_item, which would help the agent choose correctly.

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

Usage Guidelines2/5

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

No guidance on when to use this tool versus alternatives. It does not mention that create_item might be more appropriate for pure creation, nor does it provide context on prerequisites or limitations.

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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