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get_dataset

Retrieve detailed information about a specific dataset from the Serbian government open data portal. Control response size by choosing metadata, resources, preview, or summary.

Instructions

Get dataset details. detail_level controls response size.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataset_idYesDataset identifier from search_datasets()
detail_levelNoOne of: metadata, resources, preview, summarymetadata

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

No annotations are present, so the description carries full responsibility. It only mentions that detail_level controls response size, but lacks disclosure of error handling, default behavior, or any side effects. Important behavioral aspects like required permissions or response format are missing.

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 very concise with two front-loaded sentences. It efficiently conveys the basic purpose and a key parameter insight, but could include more useful information without losing conciseness.

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?

Given the complexity of retrieving dataset details with multiple detail levels, the description is incomplete. It lacks explanation of the detail_level values and does not leverage the existence of an output schema to reduce need for return value description. The description should at least define what each detail_level returns.

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%, so baseline is 3. The description adds that detail_level controls response size, which provides some context beyond the schema. However, it does not explain the meaning of each level (metadata, resources, preview, summary), limiting the added value.

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 clearly states the verb 'Get' and resource 'dataset details', making the purpose identifiable. However, it does not differentiate from sibling tools like get_dataset_resources or preview_dataset, which also retrieve dataset-related information.

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. For instance, it is unclear when to prefer get_dataset over get_dataset_resources or preview_dataset.

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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