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G-Hensley
by G-Hensley

Log Job Application

log_job_application

Record a job application with company, role, and optional details like status, salary, and notes to organize your job search.

Instructions

Log a new job application

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
companyYesCompany name
roleYesJob title/role
urlNoJob posting URL
salary_rangeNoSalary range if known
statusNoApplication status (default: applied)
resume_variantNoWhich resume variant was used
notesNoAdditional notes

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 carries the full burden. It only says 'Log a new job application' without disclosing any behavioral traits such as whether it checks for duplicates, overwrites existing data, or requires special permissions.

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, clear sentence with no wasted words. It is front-loaded and easy to parse, though slightly under-specified.

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?

With seven parameters and no output schema details visible, the description leaves out important context about return values, side effects, or integration with other tools. It is incomplete for a logging operation.

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?

Input schema has 100% description coverage; parameters are explained in the schema. The description adds no additional meaning beyond what is already present in the schema.

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 action 'Log' and the resource 'job application', clearly indicating the tool's purpose. However, it does not distinguish from sibling tools like 'add_experience' or 'add_project', which have similar naming patterns.

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 like 'update_application_status' or 'log_interview'. The description lacks any context for appropriate usage.

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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