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ADIKANT

datalens-dev-mcp

by ADIKANT

Diagnose

dl_diagnose

Diagnose SQL, aggregation grain, semantic graph, and performance issues in DataLens projects with bounded, artifact-backed evidence.

Instructions

Bounded SQL/grain/graph/performance diagnostics with artifact-backed evidence.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
modeYesDiagnostic mode.
payloadNoObject payload or RPC payload. Must not contain secrets.
max_itemsNoMaximum diagnostic rows returned inline; full details spill to artifacts/sql_performance.
project_rootNoLocal project root..
Behavior2/5

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

With no annotations, the description carries full burden. It mentions 'bounded' and 'artifact-backed evidence' but lacks details on side effects, authentication needs, rate limits, or output behavior.

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

Conciseness5/5

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

The description is a single concise sentence with no redundant information, effectively front-loading the core purpose.

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 complexity (4 parameters, nested objects, multiple modes, no output schema), the description is too brief. It omits details on return format, when to use each mode, and what 'artifact-backed' means.

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 100%, so the description adds minimal value. It does not elaborate on the meaning of each mode or payload structure beyond what the schema already provides.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description uses a specific verb ('diagnose') and resource ('SQL/grain/graph/performance diagnostics'), clearly distinguishing it from sibling tools which cover different operations like auth, build, compile, etc.

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

Usage Guidelines3/5

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

The description implies usage for diagnostic tasks but provides no explicit guidance on when to use this tool versus alternatives, nor any exclusions or preconditions.

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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