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track_application

Create or update job applications by URL or slug, then manage status, notes, tags, salary, and campaign details to organize your job search.

Instructions

Track a job application — create from URL or update by slug

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlNoJob posting URL (create mode)
noteNoNote to append to jd.md
slugNoApplication slug (update mode)
tagsNoTags to add
steerNoCustom LLM instructions for JD extraction
salaryNoSalary or pay range
statusNoNew status
refreshNoRe-fetch JD from stored URL
campaignYesCampaign name (e.g. "default")
targetRoleNoTarget role slug
employmentTypeNoEmployment type

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

B3.2/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full behavioral burden. It implies read-write behavior via 'create' and 'update' but says nothing about permissions, merge/overwrite semantics, side effects, or what happens to existing fields.

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?

A single, front-loaded sentence with zero waste. It immediately conveys the resource and the two modes without filler.

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?

For an 11-parameter mutating tool with no annotations and no output schema, the description is too thin. It does not explain update semantics, return behavior, or how the various optional fields interact with the two modes.

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 100%, so the schema already documents all 11 parameters. The description only reinforces the create-vs-update mode split, which the schema parameter descriptions already convey, so it adds little beyond the structured data.

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 names a specific resource (job application) and clarifies the two operating modes: create from URL and update by slug. This is more precise than the bare tool name, though it does not explicitly distinguish itself from siblings such as show_application or add_interview.

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

Usage Guidelines3/5

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

It implies usage by mapping modes to parameters ('create from URL or update by slug'), which gives an agent a reasonable signal. However, it names no alternatives and gives no explicit when-not-to-use or prerequisite guidance.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.