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tabular-ds-mcp
by YusufErem

inspect_competition

Reads a competition or project folder to identify task type, target and ID columns, submission format, likely metric, temporal or group splits, extra joins, and recommended next tool calls.

Instructions

Start here. Read a competition or project folder and say what kind of problem it is: train / test / sample-submission files, target and ID columns, task, submission format and a likely metric, whether the test rows lie later in time or belong to new groups (customers, stores...), extra tables that need a join, image / text content, and the exact tool calls to make next.

Args: folder: directory holding the competition files (for example /kaggle/input/).

Input Schema

NameRequiredDescriptionDefault
folderYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.2.0

TDQS

A4.3/5.0
Behavior4/5

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

With no annotations, the description carries the full load and does well: it discloses the breadth of what is read (all files in the folder, schema, splits, joins, media) and that it emits recommended next calls, which implies a read-only reconnaissance operation. It does not state that nothing is modified, how long a large folder scan takes, or how it behaves on an invalid/empty folder.

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 imperative 'Start here' is front-loaded, and the capability list is dense but each clause names a distinct thing the agent needs to know. The 'Args: folder:' block is slightly redundant with the schema but short; overall there is little wasted wording.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

No output schema and no annotations means the description must convey both purpose and result shape, which it does by enumerating every category of finding. Remaining gaps — error behavior on a bad path, recursion depth, runtime cost — are minor for a read-only inspection tool.

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% for the single required 'folder' parameter, so the description must compensate. It does: it explains the parameter is the 'directory holding the competition files' and gives a concrete example form (/kaggle/input/<competition>), which is more than the schema's bare 'string / Folder'.

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

Purpose5/5

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

The description opens with a specific verb+resource ('Read a competition or project folder') and then enumerates exactly what it reports: file kinds, target/ID columns, task, submission format, likely metric, temporal/group split detection, extra join tables, media content. This is far more specific than sibling names like profile_dataset or compare_train_test, letting an agent distinguish the broad reconnaissance tool from the narrower ones.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

'Start here' explicitly establishes this as the entry point in the workflow, and 'the exact tool calls to make next' tells the agent this tool routes onward to siblings. It stops short of naming which sibling to use under which circumstance or stating when this tool should be skipped, so it's clear context rather than full when/when-not guidance.

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