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Get a public dataset sample link

get_dataset_sample_link
Read-onlyIdempotent

Build a bounded request URL only when the canonical catalog marks the current release public. This tool does not proxy dataset content.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
countNo
formatNogeojson
dataset_idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
releaseYes
requestYes
dataset_idYes
access_tierYes
limitationsYes
manifest_urlYes
canonical_urlYes
account_requiredYes
is_accessible_for_freeYes

TDQS

A4/5.0
Behavior4/5

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

Annotations already declare readOnly, idempotent, and non-destructive. The description adds that it only builds a URL (no content proxying) and conditions on public release status. This is beyond what annotations provide, and no contradiction is present.

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?

Two sentences with zero fluff. The core action and condition are front-loaded. Every word earns its place.

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?

An output schema exists, so return values are covered. However, the description omits what to do if the release is not public (e.g., error handling) and does not explain parameter semantics. For a tool with 3 parameters and no schema coverage, more guidance is needed for correct invocation.

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 should clarify the parameters. It mentions 'bounded request URL' but does not explain how count, format, or dataset_id affect the URL. Without this, an agent cannot correctly construct meaningful requests beyond default values.

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 a specific action (build a bounded request URL), the resource (dataset sample link), and a key condition (only when release is public). It also clarifies a non-behavior (does not proxy content), distinguishing it clearly from siblings like describe_dataset or search_datasets.

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?

Provides clear context for when to use: only when the canonical catalog marks the release public. It also gives an exclusion (does not proxy dataset content), implying it's not for fetching content. It doesn't name alternatives explicitly, but the condition is actionable.

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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TDQS

A4.2/5.0
Disambiguation5/5

Each tool targets a clearly distinct function: describing a dataset, describing the Dynamik platform, searching catalog metadata, and generating a sample link. There is no meaningful overlap between them, and the shared 'describe' prefix is disambiguated by its object.

Naming Consistency5/5

All tool names follow a consistent snake_case verb_noun pattern, with verbs like describe, get, and search paired with clear objects. The naming style is uniform and predictable across the entire set.

Tool Count5/5

Four tools is well-suited to the server's focused purpose of exposing public dataset metadata and onboarding information. Each tool earns its place without redundancy or bloat.

Completeness4/5

The set covers search, detailed metadata inspection, sample link generation, and platform context, which is sufficient for a public-safe metadata layer. The only minor gap is a lack of full dataset content access, but that appears intentional given the server's explicit public-safe, non-proxy scope.

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