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Update application

update_application

Update job application fields such as status, company, or next action. Status changes are automatically logged to the timeline.

Instructions

Update fields of an application (get the id from list_applications). Status changes are logged to the timeline automatically. Example: update_application({id: "...", status: "interview", next_action: "prepare system design", next_action_due: "2026-07-20"}).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYes
urlNoLink to the job posting
roleNo
remoteNo
sourceNoLinkedIn, referral, recruiter, Easy Apply...
statusNo
companyNo
locationNo
priorityNoA = top priority
applied_atNoISO date YYYY-MM-DD
cv_variantNoWhich CV was sent: DE, EN, AI-focused...
match_notesNoMarkdown match assessment: why the candidate fits this role - strengths vs requirements, gaps, level/salary advice, process notes. Save your vacancy analysis here so it is not lost; shown as an expandable section in the dashboard.
next_actionNoe.g. "follow-up", "thank-you email"
remote_noteNoe.g. "2 days office"
salary_askedNoWhat the candidate asked for - yearly gross EUR as a plain number, e.g. 110000
salary_rangeNoPosting salary range upper bound - yearly gross EUR, plain number
next_action_dueNoISO date YYYY-MM-DD
salary_range_minNoPosting salary range lower bound - yearly gross EUR, plain number
next_interview_atNoISO datetime, e.g. 2026-07-20T14:00:00+02:00
Behavior4/5

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

Annotations indicate readOnlyHint=false and destructiveHint=false, so the description adds value by stating that status changes are automatically logged to the timeline. This is a behavioral trait beyond the annotations. No contradictions.

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

Conciseness5/5

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

The description is two sentences plus an inline example. It is front-loaded with the core action, concise, and every part adds value without waste.

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

Completeness3/5

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

Given 19 parameters and moderate schema coverage, the description is adequate but minimal. It lacks explanation of partial updates, error conditions, or return values. The example provides some context but does not fully cover the tool's complexity.

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 68%, with many parameters already described in the schema. The description provides a helpful example but does not add new semantic information for individual parameters beyond what the schema already offers.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

Description clearly states 'Update fields of an application' with explicit verb and resource. It distinguishes from siblings like add_application, list_applications, and get_application via the context of modifying an existing application.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Description provides a direct hint: 'get the id from list_applications' indicating prerequisite. It also notes automatic timeline logging for status changes. However, it does not explicitly specify when not to use this tool or mention alternatives for related actions like adding notes.

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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