List interviews for an application
yardstick_application_interview_sessions_listList interview sessions for an application.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| request_id | No | ||
| application_id | Yes |
yardstick_application_interview_sessions_listList interview sessions for an application.
| Name | Required | Description | Default |
|---|---|---|---|
| request_id | No | ||
| application_id | Yes |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already provide readOnlyHint=true, idempotentHint=true, and destructiveHint=false. The description adds no behavioral detail beyond the basic list operation, such as whether cancelled sessions are included, ordering, pagination, or output shape.
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 filler, wasted words, or redundant restatement. It front-loads the action and scope efficiently.
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?
The tool is simple, with one required parameter and annotations covering its safe read-only nature. However, with no output schema, the description could have added useful context about what the returned list contains or whether pagination is involved. It is minimally viable but not complete.
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 needed to explain parameter semantics, but it only says 'for an application.' This weakly maps to application_id but says nothing about the optional request_id or the expected format or behavior of the parameters.
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 names a specific verb ('List'), a concrete resource ('interview sessions'), and a clear scope ('for an application'). This is enough to distinguish it from sibling session tools like interview_sessions_read or application_interview_sessions_ensure.
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 gives no guidance about when to choose this tool over related alternatives, such as reading a single interview session or ensuring sessions exist. There is no stated context, exclusion, or alternative routing.
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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