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discover_agents

Scans editor configs for ACP agents and returns command, args, env, and source for importing into agent_servers.

Instructions

Scan editor configs (Zed settings.json, JetBrains acp.json) for ACP agents. Returns agents with command/args/env and source. To import, add them to agent_servers in your mcacp.json and call reload_config.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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 indicates a read-only operation (scanning configs, returning results) without modifying anything. However, it does not explicitly state it is non-destructive or mention any required permissions. The instruction to import later implies safety.

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?

The description is two sentences long with no extraneous information. It is front-loaded with the action and provides immediate 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 tool with no parameters and no output schema, the description comprehensively explains the purpose, return fields, and necessary follow-up steps. It is entirely sufficient for an agent to decide to use it.

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?

There are zero parameters, so the description does not need to explain parameter semantics. The baseline score of 4 is appropriate.

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?

The description clearly states it scans editor configs for ACP agents and returns specific fields like command, args, env, and source. This differentiates it from siblings like list_installed_agents (which lists pre-configured agents) and reload_config (which reloads configuration).

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

Usage Guidelines4/5

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

The description explicitly says when to use this tool (to scan editor configs for agents) and provides a clear follow-up action: add discovered agents to agent_servers in mcacp.json and call reload_config. It does not explicitly mention when not to use, but the context is sufficient for correct agent selection.

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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