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G-Hensley
by G-Hensley

Log Interview

log_interview

Log job interview details including preparation notes and questions asked to maintain a searchable history for tracking performance and improving future interviews.

Instructions

Log a job interview with prep notes and questions

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
application_idYesAssociated job application ID
companyYesCompany name
interview_typeYesType of interview
dateYesInterview date (YYYY-MM-DD)
interviewerNoInterviewer name/role
questions_askedNoQuestions that were asked
prep_notesNoPreparation notes
outcomeNoInterview outcome
feedbackNoFeedback received

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
contentYes
Behavior2/5

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

No annotations are present, so the description must disclose behavior. It only says 'log a job interview', but does not mention side effects, permissions, or that it creates a record. Minimal transparency.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single concise sentence that gets to the point. However, it may be too brief for a tool with 9 parameters.

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

Completeness2/5

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

Given the tool's complexity (9 params, output schema present), the description is insufficient. It does not explain the output or behavior beyond the basic logging action.

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 coverage is 100%, so parameters are already documented. The description adds no extra meaning beyond the schema, earning the baseline score of 3.

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 states the tool logs a job interview with prep notes and questions, using a specific verb and resource. However, it does not differentiate from sibling tools like 'log_job_application'.

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?

No guidance is provided on when to use this tool versus alternatives. There is no mention of context, prerequisites, or exclusions.

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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