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SreeTarak2

DataFlow MCP Server

by SreeTarak2

get_validation_prompt

Preview validation prompts before validating data. Select raw or contest to see exact chatbot instructions without claiming records.

Instructions

Preview the validation prompt without claiming any records.

Use this to see the instructions that will be sent to the chatbot before starting the validation workflow.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
record_typeNo"raw" for raw data validation prompt, "contest" for contest validation promptraw

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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 explicitly states 'without claiming any records,' implying a safe, read-only operation, and clarifies that it previews instructions. This adds meaningful context beyond the schema.

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 two sentences, front-loaded with the primary purpose and key behavior. Every word earns its place; there is no redundancy or extraneous detail.

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

Completeness5/5

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

The tool is simple: one optional parameter fully documented in schema, and an output schema exists. The description explains what it does, its non-mutating behavior, and when to use it, leaving no significant gaps.

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

Parameters3/5

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

Schema description coverage is 100%, fully documenting the two allowed values ('raw' and 'contest'). The tool description does not add parameter details, but the schema carries the load, so a baseline of 3 is appropriate.

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 states 'Preview the validation prompt without claiming any records,' which clearly identifies the verb (preview) and resource (validation prompt). It also distinguishes from sibling validation/submission tools by explicitly noting it does not claim records.

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?

The description says 'Use this to see the instructions that will be sent to the chatbot before starting the validation workflow,' providing clear context for when to invoke the tool. However, it does not explicitly name alternative tools or state when not to use it.

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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