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GenCost AI tool prices

Compare tools

compare_tools
Read-only

Compare the plans and prices of 2 to 6 AI tools side by side, in US dollars.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "tools": "<tools>"
    },
    "name": "compare_tools"
  }
}

Input Schema

NameRequiredDescriptionDefault
toolsYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.3/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and openWorldHint=false, so the safety profile is covered by structured data. The description adds genuinely new behavioral context: results are normalized to US dollars and the batch size is bounded at 2-6 tools. It does not say what happens when an unknown or unpriced tool is supplied, nor anything about the response shape, which matters since no output schema exists.

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?

A single sentence with zero filler; the action, the subject, the batch constraint, and the currency are all front-loaded and each clause carries information.

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 read-only tool with one array parameter and no output schema, the description covers the essential scope but omits identifier format, unknown-tool behavior, and any indication of what the comparison result contains. Adequate to attempt a call, not complete enough to predict its outcome.

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 0%, so the description carries the burden for the single 'tools' parameter. It does clarify that the array holds AI tool identifiers and restates the 2-6 bound, but it never specifies the accepted identifier format (name, slug, ID) or matching behavior, leaving the caller to guess.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description gives a specific verb+resource combination ('Compare the plans and prices of ... AI tools side by side'), plus concrete scope limits (2 to 6 tools) and a currency normalization (US dollars). It is immediately clear what the tool returns conceptually, but it never names or distinguishes itself from siblings like find_cheapest or get_prices, so an agent must infer which one to pick.

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?

There is no explicit when-to-use or when-not-to-use guidance, and no alternative tool is mentioned. The only implicit signal is the 2-to-6 cardinality, which hints this is for multi-tool comparison rather than a single-tool price lookup, but that is left entirely to inference against find_cheapest and get_prices.

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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