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case-studies

Get a DataArt case study

get_case
Read-only

Get the full content of one case study (article text, challenge, solution, conclusion). Pass the id, slug or url returned by search_cases.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idOrSlugYesCase study id, slug or url from search_cases.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and openWorldHint=false, so the safety profile is covered. The description adds the shape of the returned content, but says nothing about auth requirements, missing-id behavior, or pagination (none expected). Adequate but not rich beyond the annotations.

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?

One sentence, front-loaded with the action and resource, then the return contents, then the required input source. No wasted words.

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 exists, and the description compensates by naming the content sections a caller receives, which is enough for a simple read tool. It stops short of covering edge cases like an unknown id, but nothing an agent needs to invoke it correctly is missing.

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 coverage is 100% and the single parameter is documented in the schema. The description largely restates that the argument is an id/slug/url from search_cases, adding little beyond the schema baseline.

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?

Specific verb (get) and resource (one case study), with the returned content enumerated (article text, challenge, solution, conclusion). It also implicitly distinguishes itself from search_cases by positioning itself as the follow-up fetch for one item.

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?

Explicitly states the input must come from search_cases ('Pass the id, slug or url returned by search_cases'), which establishes the when-to-use context. No explicit when-not guidance, but for a simple single-item fetch the routing is clear.

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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