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ADIKANT

datalens-dev-mcp

by ADIKANT

Plan Object Create

dl_plan_object_create

Plan creation of DataLens objects (dashboards, charts, etc.) with named source adapters, and set approval for guarded apply.

Instructions

Plan OpenAPI-backed object creation with named source adapters.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
payloadYesObject payload or RPC payload. Must not contain secrets.
approvedNoCodex/tool approval flag for guarded safe apply. Defaults to false.
object_typeYesGuarded lifecycle object type.
source_adapterNoNamed lifecycle source adapter.
approval_provenanceNoapproval_provenance input.
delivery_intent_textNo
Behavior2/5

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

Without annotations, the description carries full burden but only states 'plan creation', not revealing side effects, approval flow, or whether it directly creates or just plans. The 'approved' parameter hints at a guarded apply, but the description omits this context.

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 unnecessary words. It is front-loaded but could benefit from a brief second sentence on usage context.

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 6 parameters, no output schema, and no annotations, the description is too sparse. It doesn't explain what planning means, how approvals work, or what the tool returns. The name suggests it plans creation, but agents need more context to use it correctly within a workflow.

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 coverage is high (83%) and the schema descriptions are adequate. The description does not add any parameter information beyond what's in the schema, so baseline 3 is appropriate.

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 it plans creation of objects using OpenAPI and named source adapters, which distinguishes from sibling tools like update or validation. However, it could be more explicit about the action (create) and the types of objects, though the schema lists them.

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 guidance on when to use this tool versus alternatives like dl_plan_object_update or dl_create_safe_apply_plan. The description does not mention prerequisites, workflow context, or when not to use it.

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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