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ajentsor
by ajentsor

compare_models

Compare AI models by providing their IDs to get a detailed side-by-side analysis of pricing, capabilities, and context windows.

Instructions

Compare specific models side-by-side. Provide model IDs to get a detailed comparison.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
model_idsYesList of model IDs to compare (e.g., ['gpt-4o', 'claude-opus-4-5-20251101'])
Behavior3/5

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

No annotations exist, so the description carries the burden. It implies a read operation ('compare') but does not explicitly state it is non-destructive or disclose output details.

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 zero wasted words, efficiently conveying the tool's purpose and required input. Front-loaded for quick understanding.

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 simple one-parameter tool, the description is functional but lacks detail on what 'detailed comparison' entails. No output schema, so additional context on return format would improve completeness.

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% for the single parameter 'model_ids', which is well-described in the schema. The description adds no new semantic meaning beyond what the schema provides.

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 action ('Compare specific models side-by-side') and resource, distinguishing it from siblings like 'get_model' (single model) and 'list_model_ids' (listing IDs).

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?

It instructs to 'Provide model IDs to get a detailed comparison,' but lacks explicit when-to-use or when-not-to-use guidance relative to sibling tools. Implicit differentiation is present.

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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