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Update application

update_application

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

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.2/5.0
Behavior4/5

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

Annotations indicate readOnlyHint=false and destructiveHint=false. The description adds that 'Status changes are logged to the timeline automatically', which is a behavioral trait beyond the annotations. It does not mention other side effects, but the added context is valuable.

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 a single sentence plus an example, with no verbosity. Every word is functional, and the key information is front-loaded.

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

Completeness4/5

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

Given the tool has 19 parameters and no output schema, the description covers the essential behavior (updates fields, logs status changes) and provides a working example. It does not explain return values or error handling, but the context is sufficient for a mutation tool.

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 description coverage is 68%, meaning many parameters already have descriptions. The description adds guidance with an example and notes that match_notes should be saved 'here so it is not lost'. This adds value but does not fully compensate for the remaining undocumented parameters.

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?

The description clearly states the verb 'Update' and the resource 'application', and distinguishes it from siblings like list_applications by specifying how to get the id. The example reinforces the purpose.

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?

The description provides a prerequisite ('get the id from list_applications') and implicitly contrasts with add_application and list_applications. It does not explicitly state when not to use it, but the context is clear enough.

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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