anythingmcp_connect_client
Setup instructions to connect an AI client (Claude, ChatGPT, Meta Muse, Gemini, Copilot, Cursor) to AnythingMCP.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| client | Yes | Which AI client to connect. |
Setup instructions to connect an AI client (Claude, ChatGPT, Meta Muse, Gemini, Copilot, Cursor) to AnythingMCP.
| Name | Required | Description | Default |
|---|---|---|---|
| client | Yes | Which AI client to connect. |
Changes observed during successful MCP inspections.
Input schema / properties / client / enumPrevious value: -[
- "claude",
- "chatgpt",
- "gemini",
- "copilot",
- "cursor"
-]New value: +[
+ "claude",
+ "chatgpt",
+ "muse",
+ "gemini",
+ "copilot",
+ "cursor"
+]Input schema / $schemaPrevious value: -"http://json-schema.org/draft-07/schema#"New value: +"https://json-schema.org/draft/2020-12/schema"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. It is ambiguous whether this tool merely returns documentation ('Setup instructions') or actually performs a connection, despite the imperative name 'connect_client'; it also says nothing about auth requirements or what the response contains. That ambiguity is a real gap for a tool whose name implies an action.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
One front-loaded sentence with no filler. The parenthetical client list partially duplicates the enum in the schema, which is mild redundancy but also readable reinforcement.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The tool is simple (one enum param, no output schema), and the description covers the basic intent. It still leaves the return value ('instructions' — text? links? steps?) and the read-vs-write nature unspecified, which the schema and absent annotations do not resolve.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
There is a single parameter with 100% schema coverage and an enum whose per-value description is already supplied by the schema. The prose enumeration of clients duplicates the enum rather than adding new semantics, so the description neither helps nor harms beyond baseline.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description states a clear resource and outcome: setup instructions for connecting an AI client to AnythingMCP, and enumerates the supported clients. It does not, however, distinguish itself from siblings like anythingmcp_get_started or anythingmcp_overview, which an agent might reasonably confuse it with.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Usage is implied — call this when you want to connect a specific AI client — but there is no explicit when/when-not guidance and no mention of the sibling tools (get_started, overview) that cover adjacent goals. An agent has to infer which of the four informational tools to pick.
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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