get_experiences
Retrieve work experience entries from a LAPRAS profile for review.
Instructions
Get work experiences on LAPRAS(https://lapras.com)
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Retrieve work experience entries from a LAPRAS profile for review.
Get work experiences on LAPRAS(https://lapras.com)
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description bears full responsibility for transparency. It only states the basic function without disclosing pagination, authentication, rate limits, or whether all experiences are returned. The lack of behavioral details leaves agents uncertain about side effects or constraints.
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?
The description is a single sentence with no redundant information. It is front-loaded with the key action and resource.
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?
While the description is adequate for a simple read tool with no parameters, it lacks details about the return format or what 'work experiences' entails. Given no output schema, the description should provide more context about the data structure.
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?
The tool has zero parameters and 100% schema coverage (empty schema). Per the rule, baseline is 4. The description adds the URL context but no additional parameter semantics are needed.
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?
The description clearly states the action ('Get') and the resource ('work experiences') and specifies the platform (LAPRAS with URL). It distinguishes the tool from siblings like get_job_detail, get_job_summary, etc., which target different entities.
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?
The description provides no guidance on when to use this tool instead of alternatives. It does not mention prerequisites, filtering, or any conditions. Sibling tools like create_experience and update_experience exist, but no comparison is made.
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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