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assessorAI

assessorai-dados

Official
by assessorAI

get_dataset_download

Retrieve the public GitHub Release URL for a dataset asset. Provide the asset name and optionally a version to get the download link.

Instructions

Get a public GitHub Release URL for a named dataset asset.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
versionNolatest
asset_nameYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv0.1.0

TDQS

C2.7/5.0
Behavior2/5

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

With no annotations, the description is the only source of behavioral context, but it only states that the URL is public and that the operation is a read of a release URL. It does not disclose whether network access is required, how missing assets are handled, or what the returned URL represents beyond being a download link.

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, tightly written sentence with no filler and the main action is front-loaded. It sacrifices some helpful detail, but as a concise statement it is well 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?

For a simple two-parameter getter with an output schema, some missing context is tolerable, but the absence of any distinction from get_dataset_release and the lack of version semantics leaves a meaningful gap. The agent cannot fully determine when this tool is the right choice.

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, but it only maps to asset_name via 'named dataset asset' and says nothing about the version parameter or the 'latest' default. An agent is left to infer that version is optional and has no semantics for how versions map to release tags.

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?

States a specific verb ('Get') and resource ('public GitHub Release URL for a named dataset asset'), which clearly identifies the tool's function. It does not explicitly differentiate itself from the sibling get_dataset_release, so it stops short of full sibling-level clarity.

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?

The description gives no indication of when to use this tool versus get_dataset_release or the other sibling tools. There are no alternative names, no exclusions, and no contextual conditions, so an agent has no guidance to select it correctly.

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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