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configure_clients

Adds Local MCP to the configuration of MCP-capable AI apps on your Mac, enabling them to access local tools and services.

Instructions

Adds Local MCP to the config of the MCP-capable AI apps installed on this Mac, from LMCP's client catalog (...

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv3.0.352

TDQS

B3.1/5.0
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 burden. It reveals a mutating action ('Adds') and the scope, but it does not disclose whether the operation is reversible, idempotent, permission-gated, or what side effects it may have on existing client configurations.

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?

The description is a single front-loaded sentence with no filler. It loses a point only because the text appears cut off mid-phrase ('client catalog (...'), leaving the sentence structurally incomplete.

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?

For a zero-parameter tool with no output schema, the core action and scope are present and understandable. However, with no annotations and no usage guidance, an agent still lacks information about side effects and when this tool should be selected over related configuration or installation tools.

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

Parameters4/5

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

The input schema has zero parameters and 100% schema coverage is vacuous, so there are no parameter details to supplement. With no inputs, the description appropriately focuses on what the tool configures, matching the 0-parameter baseline.

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?

The description names the action ('Adds Local MCP'), the target ('config of the MCP-capable AI apps installed on this Mac'), and the source ('LMCP's client catalog'). This is specific enough to distinguish it from single-app connect tools, though it does not explicitly contrast with siblings and the text appears truncated.

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 is given about when to use this tool versus alternatives such as lmcp_install_upgrade, recipe_install, or the various connect_* tools. There are no prerequisites, exclusions, or explicit conditions stated, so usage context is left to inference.

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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