Skip to main content
Glama

site

Compare rows side by side

dataset_compare

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

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
columnYes
valuesYes

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

A3.5/5.0
Behavior3/5

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

With no annotations, the description must carry behavioral disclosure. It does reveal useful behavior: rows are matched by 'any of' the values and appear 'in the order given.' However, it does not explain the output format, whether matching is exact, or how 'side by side' comparison is presented.

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

Conciseness4/5

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

The description is a single dense sentence with no wasted words, and the core matching logic is front-loaded. It is slightly awkward grammatically ('whose column is any...'), but the structure is efficient and readable.

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 two-parameter tool, the description provides adequate invocation guidance, but important context is missing: no output schema, no mention of what a comparison result looks like, and no differentiation from closely related sibling tools. The title's 'side by side' behavior is not carried into the description.

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?

Schema coverage is 0%, so the description must explain the parameters. It does: 'column' is the field to match, and 'values' are the candidate values. It adds the OR semantics ('any of') and the ordering behavior, going meaningfully beyond the raw schema.

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 identifies the resource (Eposvo dataset) and the action: retrieve rows whose column matches any of the given values, in a specified order. The 'X vs Y' phrasing helps differentiate it from sibling dataset tools, though it relies on the title for the explicit 'compare' verb.

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 gives a clear usage context ('for X vs Y questions') but does not explicitly mention when not to use the tool or how it compares to siblings like dataset_row or dataset_search. The guidance is present but underdeveloped.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

TDQS

A3.7/5.0
Disambiguation4/5

Most tools have clearly distinct purposes: schema, provenance, exact lookup, substring search, list comparison, summary stats, and top/bottom rows. There is mild overlap between dataset_compare and dataset_row since both return exact matches, but their use cases are described distinctly enough.

Naming Consistency5/5

All tool names follow a consistent dataset_<operation> pattern with lowercase snake_case. While the suffixes mix nouns and verbs, the pattern is uniform and predictable across the entire set.

Tool Count5/5

Seven tools is well-scoped for a single-dataset querying server. Each tool covers a distinct common query pattern without unnecessary bloat or duplication.

Completeness5/5

The tools provide complete read-only coverage for exploring and reporting on a dataset: schema discovery, provenance, exact lookup, substring search, multi-value comparisons, numeric summaries, and top/bottom ranking. No major query pattern needed for this domain is missing.

Resources