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generate_mcp_client_config

Generate MCP client JSON configuration snippets for Claude, Antigravity, or Cursor to connect to the wmilvus-mcp server.

Instructions

Generate MCP Client JSON configuration snippet for Anthropic Claude, Antigravity, or Cursor.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
commandNopython3
server_nameNowmilvus-mcp

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

C2.8/5.0
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 behavioral burden, yet it discloses nothing beyond the output type. It does not say whether a file is written or only text is returned, whether the generated snippet is a template versus a validated config, or what happens with unsupported clients.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

A single tight sentence with the action and object front-loaded and the client targets appended. No filler, though it is arguably too short to be fully useful.

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

Completeness3/5

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

An output schema exists, so return-value explanation is not required, and the tool is simple (2 optional params). However, with 0% schema coverage and no annotations, the two parameters are completely unexplained anywhere in the definition, leaving a real gap.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0% — both parameters only expose a title and a default. The description never mentions 'command' or 'server_name', so it adds no meaning about how the command is embedded or what the server name is used for.

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?

Clear verb ('Generate') plus specific resource ('MCP Client JSON configuration snippet') and even names the supported client targets (Claude, Antigravity, Cursor). It is distinguishable from the wmilvus-oriented siblings, though it never explicitly contrasts itself with them.

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 when-to-use guidance, no prerequisites, and no mention of alternatives. The agent must infer the use case entirely from the tool name and the enumerated client targets.

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