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ADIKANT

datalens-dev-mcp

by ADIKANT

Run Project Live Apply

dl_run_project_live_apply

Run approved manifest apply or publish commands with live guards for safe deployment in Yandex DataLens projects.

Instructions

Run approved manifest apply/publish command behind live guards.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
actionNoProject-live action.dry_run
publishNoRequest publish behavior.
approvedNoCodex/tool approval flag for guarded safe apply. Defaults to false.
execute_nowNoExecute the declared command.
timeout_secNoCommand timeout seconds.
project_rootYesLocal project root..
workflow_nameNoManifest workflow name.
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 fully disclose behavioral traits. It mentions 'behind live guards' but does not explain what that entails, what happens during apply, or the role of the 'approved' parameter. The agent lacks understanding of safety mechanisms and failure modes.

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 short, consisting of a single sentence. While it is concise, it sacrifices clarity and structure, potentially leaving out important information that could be conveyed in one or two more sentences.

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's complexity (8 parameters, no output schema, many siblings) and the lack of annotations, the description is notably incomplete. It does not explain key terms like 'live guards' or how the approval process works, 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 88%, so the input schema already explains most parameters adequately. The description does not add any additional meaning beyond the schema, which is acceptable but not exceptional.

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 clearly states the tool runs an approved manifest apply/publish command behind live guards, using a specific verb and resource. However, it does not differentiate from closely related sibling tools like dl_run_project_live_dry_run or dl_execute_safe_apply, which have overlapping purposes.

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 versus alternatives. It does not mention any context, prerequisites, or exclusions, leaving the agent without clear usage criteria.

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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