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Compare models

compare_models

Compare 2–5 LLM models side by side on price, context window, and capabilities, and receive a verdict on the cheapest for input, output, or a typical mixed workload.

Instructions

Compare 2–5 models side by side on price, context window, and capabilities, with a verdict on which is cheapest for input, output, and a typical blended workload.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
model_idsYesList of 2–5 model ids to compare (from search_models).
Behavior2/5

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

With no annotations, the description carries full burden. It mentions side-by-side comparison and verdict but omits details like whether results are real-time, what 'capabilities' includes, or output format.

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?

Single sentence with no wasted words, front-loading core purpose and result, including range constraint.

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?

Given tool complexity, description is decent but lacks explicit linkage to sibling tools and fails to mention that model_ids come from search_models (though in parameter note). No output schema provided.

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% with parameter description explaining model_ids. Tool description adds context about comparison but does not significantly enhance schema explanation.

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 compares 2–5 models on price, context window, and capabilities, and gives a cost verdict. It distinguishes from siblings like cheapest_models and get_model_pricing.

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

Usage Guidelines3/5

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

The description implies use when comparing multiple models but does not explicitly state when not to use or mention alternatives like cheapest_models for a single cost comparison.

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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