Skip to main content
Glama
ADIKANT

datalens-dev-mcp

by ADIKANT

Snapshot Dashboard

dl_snapshot_dashboard

Snapshot a DataLens dashboard's graph and sanitized artifacts. Choose saved or published branch, include dormant summary, and set artifact retention.

Instructions

Snapshot dashboard graph and sanitized object artifacts.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
workbook_idNoDataLens workbook id.
dashboard_idYesDataLens dashboard id.
project_rootNoLocal project root..
snapshot_branchNoSnapshot branch.saved
artifact_retentionNoSnapshot artifact retention policy.latest_only
include_dormant_summaryNoInclude dormant workbook entry counts.
Behavior1/5

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

No annotations are provided, and the description does not disclose behavioral traits such as read-only/destructive nature, side effects, or permissions. It merely states outputs without behavioral context.

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

Conciseness2/5

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

The description is extremely short (two noun phrases) but under-specified. It fails to provide essential context, making it incomplete rather than concise.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness1/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no output schema and 6 parameters, the description is wholly inadequate. It does not explain how parameters affect the output or what 'graph' and 'sanitized artifacts' entail.

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 description coverage is 100%, so baseline is 3. The description does not add any meaning beyond what the schema already provides for parameters.

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 mentions output types ('graph', 'sanitized object artifacts') but lacks a verb specifying the action (e.g., generate, retrieve). It is better than a tautology but does not clearly distinguish the tool's primary function from siblings like dl_plan_dashboard_tab_update.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines1/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance on when to use this tool versus alternatives, no context about prerequisites or exclusions. The description provides no usage direction.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/ADIKANT/datalens-dev-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server