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column-preferences: GET /api/column-preferences

get_column_preferences_3a64717cfdb86472df10b48d
Read-onlyIdempotent

GET /api/column-preferences. GET /api/column-preferences. Operation ID: 3a64717cfdb86472df10b48d; describe_operation provides native request schemas.

Input Schema

NameRequiredDescriptionDefault
queryNo
paramsNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

D1.6/5.0
Behavior2/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false and openWorldHint=false, so the safety profile is covered. The description adds nothing beyond that—no note on whose preferences are returned (user vs workspace), whether defaults are synthesized, or auth requirements. It does not contradict the annotations.

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 only content is a verbatim duplication of the endpoint string plus an opaque operation ID. It is short but entirely non-informative, so brevity comes at the cost of usefulness rather than from efficient editing.

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?

For a tool with an entirely undocumented nested query/params object, no output schema, and no annotations explaining semantics, the description should carry the burden—instead it repeats the path twice and defers to 'describe_operation', which is not how the agent selects this tool.

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 0% and both parameters (`query`, `params`) are untyped free-form objects with no documented semantics. The description does not mention them at all, leaving the caller with no idea what to pass—far below the baseline for a low-coverage schema.

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

Purpose2/5

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

The description only restates the HTTP endpoint path 'GET /api/column-preferences' plus an operation ID. It identifies the resource (column preferences) but adds no verb-level explanation of what is retrieved, so it functions as tautology of the title rather than a purpose statement.

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

Usage Guidelines1/5

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

No indication of when to call this versus alternatives. With hundreds of sibling get_* tools (including get_view_layouts, get_saved_views, get_profile), the absence of any guidance on scope or selection criteria leaves the agent guessing.

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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