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voidfeed_model_compare

Compare AI models on a task using cost, quality, and latency data to select the most suitable model.

Instructions

Compare AI models on a specific task with cost, quality, and latency data.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
taskYesTask description to compare models on
modelsNoSpecific models to compare. Leave empty for top recommendations.

Implementation Reference

  • index.js:143-158 (registration)
    Registration and input schema for the voidfeed_model_compare tool in the TOOLS array. Requires a 'task' string, optionally accepts a 'models' array.
      name: 'voidfeed_model_compare',
      description:
        'Compare AI models on a specific task with cost, quality, and latency data.',
      inputSchema: {
        type: 'object',
        properties: {
          task: { type: 'string', description: 'Task description to compare models on' },
          models: {
            type: 'array',
            items: { type: 'string' },
            description: 'Specific models to compare. Leave empty for top recommendations.',
          },
        },
        required: ['task'],
      },
    },
  • Handler logic for voidfeed_model_compare. Builds query params from args (task required, models optional) and calls GET /v1/tools/model-compare.
    case 'voidfeed_model_compare': {
      const params = new URLSearchParams({ task: args.task });
      if (args.models) params.set('models', args.models.join(','));
      return vfGet(`/v1/tools/model-compare?${params}`);
    }
  • Helper function vfGet used by the handler to make authenticated GET requests to the VoidFeed API.
    async function vfGet(path) {
      const res = await fetch(`${BASE}${path}`, { headers: authHeaders() });
      if (!res.ok) throw new Error(`VoidFeed ${path} → ${res.status}`);
      return res.json();
    }
Behavior2/5

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

No annotations are provided, and the description only states that the tool provides cost, quality, and latency data. It does not disclose behavioral traits such as whether it's read-only, required permissions, or any side effects.

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?

The description is a single concise sentence that immediately conveys the action and subject. It is front-loaded and avoids any fluff.

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

Completeness2/5

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

Given the lack of an output schema and the tool's complexity (comparing multiple models with multiple metrics), the description does not explain the return format or interpretation of the results, leaving the agent with insufficient context.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema has 100% description coverage with clear parameter descriptions. The tool description adds value by mentioning the output components (cost, quality, latency) beyond what the schema provides, aiding the agent in understanding the tool's purpose.

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 specifies the exact action 'compare' and resource 'AI models', and details the metrics involved (cost, quality, latency). This clearly distinguishes it from sibling tools like 'voidfeed_catalog' or 'voidfeed_benchmark_lookup'.

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 usage for comparing models on a task but does not provide explicit guidance on when to use this tool versus alternatives, nor does it mention any prerequisites or exclusions.

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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