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megamen32

agent-herder

by megamen32

change_model

Switch the AI model for coding agents in OpenCode, Claude Code, or Codex CLI. Set a per-session model or update the global default for future sessions.

Instructions

Change the AI model for a harness. For OpenCode: per-session or global. For Claude/Codex: updates default for future sessions.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
modelYesModel name (e.g. 'claude-sonnet-4-20250514', 'gpt-4o', 'o4-mini')
harnessYesTarget harness
sessionIdNoSession ID (omit for global default)
Behavior4/5

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

With no annotations, the description carries full burden. It explains the effect (changing model) and nuances per harness, but does not disclose side effects, authentication needs, or whether the operation is destructive.

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 with no wasted words. The first sentence states the purpose, the second provides per-harness guidance. Extremely efficient and front-loaded.

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

Completeness4/5

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

Given the tool's simplicity and lack of output schema, the description covers the main usage scenarios. However, it could mention what happens after the change (e.g., if the session restarts) or confirm no side effects.

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?

Schema coverage is 100%, so the baseline is 3. The description adds value by explaining how harness and sessionId affect the operation (per-session vs global), which is not in the schema.

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 the tool's action ('Change the AI model for a harness') and distinguishes behavior per harness (OpenCode vs Claude/Codex), differentiating it from sibling tools that focus on agents, permissions, or sessions.

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 provides context for each harness type (per-session/global vs default) and implies when sessionId should be used, but does not explicitly state when not to use the tool or mention alternative tools.

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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