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ADIKANT

datalens-dev-mcp

by ADIKANT

dl_object_relations

Read-onlyIdempotent

Read compact direct relations for one exact DataLens object ID to inspect linked objects before planning or validating dashboard changes.

Instructions

Read compact direct relations for one exact DataLens object ID.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
max_pagesNo
object_idYes
page_sizeNo
page_tokenNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv1.2.0

TDQS

C2.9/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, openWorldHint, and destructiveHint, covering the safety profile. The description adds that relations are 'compact' and 'direct' for an exact object ID, which hints at return shape, but it does not describe pagination behavior or auth requirements. With annotations doing the heavy lifting, a 3 is appropriate.

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 efficient sentence with the verb front-loaded and no filler. It is appropriately concise, though the terseness leaves important parameter and behavioral details unaddressed elsewhere.

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 4 parameters, 0% schema description coverage, and no output schema, the one-sentence description is insufficient. It omits pagination parameters, return format details, and any indication of how many relations or how to page through them.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0% for 4 parameters. The description only clarifies object_id as an 'exact DataLens object ID'; max_pages, page_size, and page_token are entirely undocumented in both schema and description, so the description fails to compensate for the coverage gap.

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 states a specific verb ('Read'), resource ('compact direct relations'), and scope ('for one exact DataLens object ID'), which distinguishes it from siblings like dl_object_get or dl_object_diff. However, it does not explicitly name an alternative tool or condition, so it falls short of the top score.

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?

There is no guidance on when to use this tool versus alternatives such as dl_object_get or dl_object_diff. It also lacks any prerequisites or exclusions, leaving the agent to infer usage from the tool name alone.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.