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karbassi

slack-mcp

by karbassi

slack_lists_download_get

Retrieve a downloaded list from Slack by providing the list ID and job ID from a previous export request.

Instructions

Get a list download.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
job_idYes
list_idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

With no annotations, the description carries full burden for behavioral disclosure. It only states the basic action and does not address side effects (likely read-only), potential delays, error states, or return format. This is insufficient for safe invocation.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is very concise (4 words) but lacks structure and critical details. It is not verbose, but the brevity comes at the expense of necessary information, making it merely average.

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 no annotations, low schema coverage, and no mention of the output schema or relationship to other tools, the description is incomplete. It fails to provide enough context for an agent to use the tool effectively.

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

Parameters1/5

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

Schema description coverage is 0%, and the description adds no meaning to job_id and list_id. The agent has no information about what these parameters represent or how to obtain them, severely hindering correct usage.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description 'Get a list download' identifies a verb (get) and a resource (list download), but does not clarify that this is for retrieving a previously initiated download (as opposed to starting one). It is minimally specific but lacks differentiation from sibling tools like slack_lists_download_start.

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 provides no guidance on when to use this tool, prerequisites (e.g., a job_id from slack_lists_download_start), or alternatives. An AI agent would have no context for selecting this tool over others.

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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