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ADIKANT

datalens-dev-mcp

by ADIKANT

Read Object

dl_read_object

Read a DataLens object by its type and ID. Choose from multiple response modes to get the exact information needed.

Instructions

Read a supported DataLens object by type and id.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
branchNoDataLens branch to read.saved
run_idNoOptional verification run id.
object_idYesDataLens object id.
object_typeYesRead-only object type.
workbook_idNoDataLens workbook id.
project_rootNoLocal project root..
response_modeNoRead response projection mode.summary
inline_char_budgetNoInline response character budget.
Behavior2/5

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

With no annotations, the description must disclose behavioral traits. It only says 'Read', implying non-destructive, but fails to explicitly state read-only, permissions, or side effects.

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?

Extremely concise, single sentence, front-loaded with the main action. No wasted words.

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?

Despite a complex input schema with 8 parameters and no output schema, the description provides minimal context. It does not explain branch, response_mode, or other key fields.

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 parameters are fully described in the schema. The description adds no additional meaning beyond the title, meeting the baseline.

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 reads a supported DataLens object by type and id, using a specific verb and resource. However, it lacks differentiation from sibling tools, which all operate on DataLens objects.

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_validate_object or dl_reference. The description does not mention prerequisites or context.

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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