dataset_topThe highest (or lowest) rows of the EOR Compass dataset by a numeric column — "which is the most/least X".
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No | ||
| column | Yes | ||
| ascending | No | true for the lowest first; default highest first |
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the behavioral disclosure burden. It conveys that the tool performs a read-style ranking operation and requires a numeric column, but it omits important behavioral details such as the default limit, whether rows are returned in full, and how ties or invalid columns are handled.
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?
The description is a single, tight sentence with no filler. The quoted 'which is the most/least X' phrase usefully frames the tool's purpose without redundancy.
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?
This tool has three parameters, no annotations, and no output schema, so the description needs to provide more context. It fails to explain the default limit behavior, what the returned rows look like, or what happens when the requested column is not numeric.
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?
The input schema only documents 'ascending'; 'column' and 'limit' have no descriptions. The description adds meaning for 'column' by specifying it must be numeric and serves as the sort key, and 'highest/lowest' clarifies the 'ascending' semantics. However, 'limit' is entirely absent from the description, leaving a coverage gap.
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?
Title and description clearly state the operation: returning the highest or lowest rows of the EOR Compass dataset by a numeric column. The phrase 'which is the most/least X' gives concrete intent and distinguishes it from sibling tools like dataset_search, dataset_row, and dataset_stats.
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 description implies when to use the tool: when a user asks for the most or least of something by a numeric column. However, it never explicitly states when not to use it or mentions alternatives such as dataset_stats or dataset_search.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Each tool has a distinct purpose: dataset tools handle data exploration (columns, compare, row, search, stats, top) while enquiry tools handle the submission workflow (describe, fields, submit). No overlaps or ambiguous functions.
Names follow a consistent pattern with clear prefixes (dataset_ and enquiry_) and action-oriented suffixes (columns, compare, row, search, stats, top, describe, fields, submit). The convention is uniform across all tools.
With 10 tools, the set is well-scoped for a site offering data exploration and enquiry submission. It covers both core domains without unnecessary bloat or missing essential functions.
The dataset tools cover metadata (columns, provenance), lookup (row, search), aggregation (stats, top), and comparison (compare). The enquiry tools cover description (describe), input schema (fields), and submission (submit). The workflow is complete with no dead ends.