Compare rows side by side
dataset_compareThe rows of the Buffrota dataset whose column is any of the given values, in the order given — for "X vs Y" questions.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| column | Yes | ||
| values | Yes |
dataset_compareThe rows of the Buffrota dataset whose column is any of the given values, in the order given — for "X vs Y" questions.
| Name | Required | Description | Default |
|---|---|---|---|
| column | Yes | ||
| values | Yes |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations exist, so the description carries the full behavioral burden, and it delivers little. It does not say how the rows come back (grouped per value? interleaved?), what happens when a value in 'values' has no matching rows, whether ordering within each value is stable, or what the read-only/scope implications are.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
It is a single short sentence with no wasted words, which is good, but it is a dangling modifier with no main clause, so the reader must reconstruct the implied subject and verb. Sizing is fine; structure is weak.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a two-parameter tool with no annotations and no output schema, the description should at least establish what is returned and any limits. It covers the filtering rule and ordering but omits result shape and the value-count cap, leaving an agent under-informed for correct invocation.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0% and neither parameter is documented in the schema, so the description is the only source. It clarifies that 'column' is matched against 'values' and that result order follows the input order, which is genuinely useful, but it never mentions the minItems=2 / maxItems=10 constraints or that values must be strings.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The sentence names the resource (the Buffrota dataset) and the retrieval condition (rows whose column is any of the given values), and the order guarantee hints at comparison. But it is a noun phrase with no verb, and it never distinguishes itself from the closely related siblings dataset_row and dataset_search, so an agent cannot be sure this is the comparison tool rather than a generic filter.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The only guidance is the trailing '— for "X vs Y" questions', which implies a use case but names no alternatives, no prerequisites, and no when-not condition. An agent must infer that dataset_row or dataset_search is the wrong choice here.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.