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Gonka Second Opinion (multi-model)

Compare Gonka vs Competitor

compare_providers
Read-onlyIdempotent

Compare Gonka Network pricing against a competitor provider. Returns cost per 1M tokens for both, live savings ratio, and source links. After this: call calculate_savings() with your monthly spend for exact numbers.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
providerNoProvider to compare Gonka against: openai, anthropic, deepseek, mistral, gemini.openai

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and openWorldHint=true, so the safety profile is covered. The description adds behavioral context about the return payload (cost per 1M tokens, live savings ratio, source links) and the recommended next step, which goes beyond bare annotation information. It does not introduce contradictions.

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?

Three sentences, front-loaded with the primary action, then return values, then a logical follow-up. Every sentence earns its place with no redundancy or fluff.

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

Completeness5/5

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

The tool has a low complexity (one optional parameter), a rich output schema (asserted in context signals), and strong annotations. The description explains exactly what is returned and how to proceed, making it complete for the agent to invoke and interpret results. No critical context is missing.

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?

The input schema covers the single parameter (provider) with a clear enum and description, achieving 100% schema description coverage. The tool description mentions 'against a competitor provider' but adds no new syntax or parameter-specific details beyond the schema. Thus the baseline score of 3 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 uses the specific verb 'Compare' with a clear resource: 'Gonka Network pricing against a competitor provider.' It also lists the return values (cost per 1M tokens, savings ratio, source links), which distinguishes it from siblings like get_pricing or calculate_savings. The title reinforces the purpose without being a tautology.

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 clear context—comparing pricing with a competitor—and even suggests a follow-up action ('After this: call calculate_savings() with your monthly spend for exact numbers.'). However, it does not explicitly contrast with sibling tools like get_pricing or state when not to use this tool, so it lacks explicit exclusions or alternative naming.

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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TDQS

A4.1/5.0
Disambiguation4/5

Most tools have distinct purposes, but there is slight overlap between register_on_gonka and get_signup_link (both return signup links) and between get_pricing, calculate_savings, compare_providers, and suggest_model_for_task (all deal with pricing). Descriptions help differentiate, but boundaries are not perfectly sharp.

Naming Consistency5/5

All tool names follow a consistent verb_noun pattern in snake_case (e.g., calculate_savings, get_available_models, search_docs). No mixed conventions or abbreviations. Naming is predictable and clear.

Tool Count4/5

18 tools is on the higher side, but each serves a specific function within pricing, documentation, and signup workflows. The count feels slightly bloated, particularly with closely related documentation graph tools, but overall still well-scoped.

Completeness5/5

The tool set comprehensively covers the domain of Gonka Network pricing: live pricing, comparisons, savings calculations, model recommendations, documentation search (graph and full-text), trial key provisioning, and signup links. No obvious gaps for the stated purpose.