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compare_models

Compare details and pricing of multiple TokenLab models side by side to select the optimal model for your use case.

Instructions

Compare public TokenLab model details and pricing for several model IDs.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
modelsYesPublic TokenLab model IDs to compare.
include_rawNoReturn raw details and pricing payloads instead of compact summaries.
Behavior3/5

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

No annotations provided, so description carries the burden. It implies a read-only comparison but does not disclose error handling, rate limits, or behavior for invalid model IDs. Adequate but not thorough.

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, no unnecessary words. Front-loaded with verb and resource, highly efficient.

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?

No output schema, but the description does not hint at return format or structure. For a comparison tool, some indication of output (e.g., side-by-side vs aggregated) would improve completeness. Still minimally functional.

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 description coverage is 100%, so the description adds no value beyond the schema-defined parameter descriptions. Baseline score 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 the verb 'compare', the resource 'public TokenLab model details and pricing', and the scope 'several model IDs'. It distinguishes from siblings that handle single models or pricing only.

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 explicit guidance on when to use this tool versus alternatives like get_model or get_model_pricing. The description implies use for multiple models but lacks when-not-to-use or prerequisites.

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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