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ADIKANT

datalens-dev-mcp

by ADIKANT

Detect Project Live Workflows

dl_detect_project_live_workflows

Detect manifest-backed live workflows in a DataLens project or request an adapter to enable them.

Instructions

Detect manifest-backed project live workflows or request an adapter.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
project_rootNoLocal project root..
Behavior2/5

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 traits. It mentions 'detect' (potentially read-only) and 'request an adapter', but does not clarify side effects, permissions, or whether the tool is non-destructive, leading to significant ambiguity.

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 sentence with no wasted words, making it highly concise. However, it could be improved by front-loading key action words for faster parsing.

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 lack of annotations and output schema, the description is insufficiently complete. It does not explain return values, example usage, or what 'request an adapter' entails, leaving a large gap for an agent to infer correct behavior.

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 100% as the single parameter 'project_root' is described in the schema. The description adds no additional meaning beyond the schema's own description, so it meets the baseline without adding value.

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

Purpose3/5

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

The description states the tool detects 'manifest-backed project live workflows' or requests an adapter, providing a specific verb and resource. However, the phrasing is technical and vague, and it does not distinguish well from sibling tools like dl_plan_project_live_workflow, leading to moderate clarity.

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 usage guidelines are provided. The description does not specify when to use this tool versus alternatives, nor does it mention any prerequisites or exclusions, leaving the agent without decision support.

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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