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Compare rows side by side

dataset_compare

The rows of the Wedding Cost Checker dataset whose column is any of the given values, in the order given, for "X vs Y" questions.

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": {
      "column": "<column>",
      "values": "<values>"
    },
    "name": "dataset_compare"
  }
}

Input Schema

NameRequiredDescriptionDefault
columnYes
valuesYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.7/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full burden. It never states that this is a read-only lookup, how matching works (exact match? case sensitivity? missing values?), or what the response looks like (a list of rows? two rows per value?). "In the order given" is the only real behavioral disclosure, and it is not enough for an unannotated tool.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

It is only one sentence, but that sentence is an ungrammatical fragment with a dangling qualifier ("for 'X vs Y' questions") appended after the ordering clause. Shortness here reflects under-specification rather than tight authoring; the core constraint is not front-loaded.

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?

With no annotations, no output schema, and no parameter documentation, the definition needs to explain output shape and matching behavior, and it does neither. An agent knows roughly what to pass in but not what comes back or how unmatched values are handled.

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 must compensate for two bare parameters. It does clarify that 'values' are matched as an any-of set against the named 'column' and that result order follows input order, which is genuine semantics beyond the schema. It still omits matching rules and how the minItems 2 / maxItems 10 limits relate to the "X vs Y" framing.

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

Purpose3/5

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

The definition identifies the resource (rows of the Wedding Cost Checker dataset) and an operation (select rows where a column matches given values), plus the ordering behavior. However, it is a sentence fragment with no verb, and the phrase "whose column is any of the given values" is awkward enough that an agent must parse it twice. It does hint at a comparison use case, which faintly separates it from dataset_search/dataset_row, but not decisively.

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?

"for 'X vs Y' questions" is an implied usage cue that tells the agent this tool is for side-by-side comparison scenarios. There is no explicit statement of when not to use it, and no named alternative among dataset_rows/dataset_search/dataset_top, so the agent must infer the boundary itself.

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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