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ADIKANT

datalens-dev-mcp

by ADIKANT

Create Publish From Saved Plan

dl_create_publish_from_saved_plan

Create a publish plan using a saved-branch readback artifact as the exclusive source for DataLens object deployment.

Instructions

Create publish plan only from a saved-branch readback artifact.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
targetYesReadback target kind.dashboard
approvedNoCodex/tool approval flag for guarded safe apply. Defaults to false.
object_idNoDataLens object id.
object_idsNoDataLens object ids.
target_urlNo
object_typeYesSupported object type.dashboard
project_rootYesLocal project root..
readback_modeNoReadback depth for saved/published verification.minimal
target_chart_idNo
saved_readback_pathNoSaved-branch readback artifact used as the only valid publish source.
target_dashboard_idNo
delivery_intent_textNo
Behavior2/5

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

No annotations are provided, so the description must disclose behavioral traits. It only states the core function without revealing side effects (e.g., whether it creates files, modifies state, requires specific permissions, or is destructive). The single sentence is insufficient for an operation that 'creates' a plan.

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, concise sentence with no redundant information. However, it sacrifices informativeness for brevity, which is a minor drawback. It is appropriately front-loaded.

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 tool has 12 parameters, 3 required, no output schema, and no annotations, the description is too minimal. It does not explain the purpose of the publish plan, expected outcomes, or how it fits with sibling tools, leaving significant gaps for an AI agent.

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 67%, providing basic semantics for most parameters. The description does not add any extra meaning beyond the schema. Baseline is 3, and the tool meets that with no degradation or improvement.

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 uses a specific verb 'Create' and resource 'publish plan', and adds a constraint 'only from a saved-branch readback artifact', which helps distinguish it somewhat from sibling plan creation tools. However, the jargon 'saved-branch readback artifact' is not explained, reducing clarity for an AI agent unfamiliar with the domain.

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 explicit guidance on when to use this tool versus alternatives like dl_create_safe_apply_plan or dl_plan_object_create. The description does not mention prerequisites, exclusions, or context where this tool is appropriate, leaving the agent to infer usage.

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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