List a user's CEU credits
axislms_list_user_ceusContinuing-education credits (CEUs) a user earned: type, name, credits and issue date. GET /certifications/ceus/{user_id}/.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| user_id | Yes |
axislms_list_user_ceusContinuing-education credits (CEUs) a user earned: type, name, credits and issue date. GET /certifications/ceus/{user_id}/.
| Name | Required | Description | Default |
|---|---|---|---|
| user_id | Yes |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, openWorldHint=true, and destructiveHint=false. The description adds useful output context by naming the CEU fields returned and the REST endpoint, but it does not mention pagination, authorization requirements, or return structure beyond the field list.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Two compact sentences with no waste, front-loading the CEU fields and then the endpoint. The description is appropriately sized for a simple read-only list tool.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple one-parameter read-only list tool with no output schema, the description covers purpose and returned fields adequately. However, it omits pagination behavior, parameter details, and any usage guidance that would help an agent complete the call confidently.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0%, so the description must compensate for the single user_id parameter. It mentions 'a user' and the endpoint path containing {user_id}, but it does not explain the parameter's type, format, or where to obtain the ID, leaving the only parameter largely undocumented.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
States a specific resource (continuing-education credits/CEUs a user earned) and lists the returned fields, which clearly distinguishes it from certificate-oriented siblings. The description implies listing rather than saying so directly, but the name and title supply the verb.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Provides no explicit guidance on when to use this tool versus alternatives such as axislms_list_user_certificates or axislms_certification_report. The implied usage is clear from the resource, but no context or exclusions are given.
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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