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khanarmaghanrasheed-18

Dataset Explorer MCP Server

analyze_target

Get a detailed summary of a target column in CSV datasets, with key statistics and data distribution insights.

Instructions

Gives a detailed summary of the target column.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pathYes
target_nameYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

With no annotations, the description carries the full burden of behavioral disclosure. It only states that the tool outputs a summary but does not reveal whether it is read-only, what side effects occur, or what the summary actually includes beyond a vague 'detailed summary'.

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, concise sentence with no wasted words, front-loading the core purpose. While it is brief, it could easily include more detail without losing conciseness, making it appropriately but not exceptionally structured.

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

Completeness2/5

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

Even with an output schema present, the description lacks essential context: what 'detailed summary' entails, how it differs from sibling summary tools, and any usage conditions. This is insufficient for an agent to correctly invoke the tool in a broader analysis workflow.

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%, so the description must compensate for parameter explanations. The phrase 'target column' hints that target_name refers to a column, but path is completely unexplained, and no further parameter meaning is added beyond the schema names.

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 'Gives a detailed summary of the target column' clearly states the tool's action (gives summary) and the resource (target column). However, it lacks specificity to distinguish from sibling tools like 'dataset_statistical_summary' or 'inspect_Column', which might also provide summaries.

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?

No guidance is provided on when to use this tool versus alternatives. The description neither mentions context nor excludes other tools, leaving the agent without direction on selecting this tool over siblings.

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

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