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anythingmcp_connect_client

Read-onlyIdempotent

Get plain-text setup instructions for connecting an AI client to an AnythingMCP server. Specify the client (Claude, ChatGPT, Gemini, Copilot, or Cursor) to receive step-by-step connection steps.

Instructions

Read-only, no side effects. Returns plain-text setup instructions for connecting ONE AI client to an AnythingMCP server; pass the required client. Use this once you already have an AnythingMCP instance running; to install one first, use anythingmcp_get_started.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
clientYesWhich AI client to get connection instructions for.
Behavior4/5

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

Annotations already provide readOnlyHint and idempotentHint, and the description reinforces 'Read-only, no side effects.' It adds value by specifying the output type ('plain-text setup instructions'), but does not elaborate further on behaviors like rate limits or auth.

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, minimal waste, front-loaded with key info (read-only, no side effects, plain-text instructions). Every sentence adds value.

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

Completeness5/5

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

For a simple read-only tool with one enum parameter, the description covers purpose, usage context, and output format. No output schema is needed as the result is plain text. Complete for its complexity.

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 100% with enum and description for the sole parameter. The description adds no additional semantics beyond what the schema already provides, meeting the baseline for high coverage.

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?

Clearly states the tool returns 'plain-text setup instructions for connecting ONE AI client to an AnythingMCP server; pass the required `client`.' This is specific, uses a verb+resource structure, and differentiates from siblings like anythingmcp_get_started.

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?

Explicitly tells when to use: 'Use this once you already have an AnythingMCP instance running; to install one first, use anythingmcp_get_started.' This provides clear context and an alternative.

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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