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ADIKANT

datalens-dev-mcp

by ADIKANT

Build Payload Plan

dl_build_payload_plan

Compile generated bundles into a dry-run DataLens payload plan to preview changes before application.

Instructions

Compile generated bundles into dry-run DataLens payload plan.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
target_urlNo
context_refNoOwning project_context_ref.v1 from Project Memory Bank.
workbook_idNoDataLens workbook id.workbook_id
project_rootNoLocal project root..
target_knownNo
evidence_refsNoHash-bound evidence_ref.v1 inputs from prior project-aware operations.
target_chart_idNo
target_dashboard_idNo
delivery_intent_textNo
Behavior1/5

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

No annotations are present, so the description bears full responsibility for behavioral disclosure. It only states 'Compile generated bundles into dry-run DataLens payload plan' without explaining what 'compile' entails, whether it is destructive, or any side effects. This is insufficient for a tool with 9 parameters.

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 a single sentence, which is concise but overly brief for a complex tool. It lacks important details, making it underspecified rather than efficiently 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 9 parameters, no output schema, and no annotations, the description is far from complete. It fails to explain return values, process steps, or when the tool is applicable, leaving agents with insufficient information for correct invocation.

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 only 44%, and the description adds no information about parameters. It does not compensate for the low coverage, leaving agents to rely solely on the schema, which is incomplete.

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 ('Compile') and resource ('generated bundles into dry-run DataLens payload plan'), indicating a clear purpose. However, it does not differentiate from sibling tools like 'dl_build_dashboard_source_availability_matrix' or 'dl_build_validation_evidence_report'.

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. No context for usage scenarios or prerequisites is given.

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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