data-analysis-agent

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get_dataset_info

Inspect a data session's dataset structure by retrieving shape, column types, missing values, and memory usage to assess data quality before analysis.

Instructions

Get shape, column types, missing value counts, and memory footprint for a session.

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": {
      "session_id": "<session_id>"
    },
    "name": "get_dataset_info"
  }
}

Input Schema

Name	Required	Description	Default
`session_id`	Yes

Output Schema

Name	Required	Description	Default
`result`	Yes

Schema Changelog

Changes observed during successful MCP inspections.

First observedv0.1.0Sep 4, 2026

TDQS

C2.9/5.0

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 of behavioral disclosure. It does not explicitly state that the tool is read-only, whether a session must already exist, or what happens with an invalid session_id. 'Get' weakly implies non-mutation, but no real behavioral context is disclosed.

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

Conciseness5/5

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

The description is a single, tightly written sentence that front-loads the action and enumerates exactly what information is returned. Every word earns its place, with no filler or redundancy.

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?

The tool is simple and has an output schema, so return-value details are not required. However, the description lacks usage guidance, sibling differentiation, and parameter semantics, making it minimally viable but clearly incomplete for a no-annotations tool.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, and the description does not explain session_id beyond saying 'for a session'. It does not describe where the session_id comes from, its format, or that it should be a session returned by list_sessions. The description does not compensate for the missing schema-level parameter documentation.

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 uses a specific verb ('Get') and names concrete resources and outputs: shape, column types, missing value counts, and memory footprint. It is clear and not a tautology, but it does not explicitly differentiate itself from similar siblings such as describe_dataset or find_missing_values, so it falls short of a 5.

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

Usage Guidelines2/5

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

There is no guidance about when to use this tool versus alternatives like describe_dataset, preview_dataset, or find_missing_values. The phrase 'for a session' only identifies the target context, not the appropriate selection conditions.

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