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List learning paths

talentlms_list_learning_paths
Read-only

Learning paths (sequences of courses) with status, category, price, dates and rules, paginated. GET /api/v2/learning-paths.

Input Schema

NameRequiredDescriptionDefault
pageNoPage number (default 1).
statusNoOnly active or inactive learning paths.
page_sizeNoItems per page, 1-100 (TalentLMS default 10).

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

B3.4/5.0
Behavior3/5

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

The readOnlyHint annotation already establishes that this is a safe read operation. The description adds useful context by naming the GET endpoint, confirming pagination, and listing returned fields, but it does not cover auth requirements, rate limits, or detailed pagination 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 two short sentences with no wasted text. The core resource description is front-loaded, followed by the concrete endpoint.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple read-only list endpoint with fully described parameters and no output schema, the description gives enough return-field context for an agent to understand what is returned. It stops short of describing response structure or pagination metadata in detail, but no major calling information is missing.

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%, so the meanings of page, status, and page_size are already fully documented in the input schema. The description does not add parameter-level meaning beyond noting that results are paginated, so the baseline score of 3 is appropriate.

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 identifies the resource as learning paths, explains they are sequences of courses, and lists the returned fields and pagination. It is specific enough to distinguish this from course listing tools, though it does not explicitly contrast itself with siblings such as talentlms_list_courses.

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?

The description does not state when to use this tool versus alternatives, nor does it provide exclusions or prerequisites. Usage is only implied by the tool name and the resource being listed.

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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