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delimit_models

List, detect, add, or remove AI models to configure multi-model deliberation with providers like Grok, Gemini, OpenAI, and Anthropic.

Instructions

(Pro). View and configure AI models for multi-model deliberation.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
actionNolist, detect, add, or remove.list
providerNoModel provider for add/remove (grok, gemini, openai, anthropic, codex).
api_keyNoAPI key for the provider (only used with action=add).
model_nameNoOptional model name override (e.g. "gpt-4o", "claude-sonnet-4-5-20250514").

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

No annotations are provided, and the description only says 'View and configure' which implies both read and write operations. It does not disclose any behavioral traits such as whether actions are destructive, require authentication, or have side effects. The description adds no transparency beyond the schema.

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 extremely concise (9 words plus a qualifier). It is front-loaded with the '(Pro)' context and a clear action. However, it could be slightly more informative without becoming verbose.

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?

The output schema exists, so return values are covered. The description mentions 'multi-model deliberation' which provides domain context. However, it lacks usage examples, workflow integration hints, and rationale for the tool's existence among many siblings. It is adequate but not complete.

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%, so the schema already documents each parameter fully. The description does not add any extra meaning beyond what the schema provides (e.g., action values, provider list, etc.). Baseline 3 is appropriate.

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 clearly states the verb-resource pair ('View and configure AI models') and the domain ('multi-model deliberation'), but does not differentiate from sibling tools like delimit_deliberate, which are about the deliberation process itself. The '(Pro)' prefix adds context about availability.

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 on when to use this tool versus alternatives. The description does not mention prerequisites, when not to use it, or how it relates to other deliberation tools. The agent receives no contextual help for decision-making.

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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