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save_job

Save a job to your application tracker. Requires authentication.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
notesNoPersonal notes about this job
titleYesJob title
statusNoApplication status (default: saved)
app_linkNoApplication link URL
currencyNoSalary currency (e.g., 'USD')
excitementNoExcitement level from 0-5
max_salaryNoMaximum salary
base_salaryNoBase salary
company_nameYesCompany name
himalayas_linkNoHimalayas job listing URL

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changed
    • changedInput schema / $schema
      Previous value: -"http://json-schema.org/draft-07/schema#"New value: +"https://json-schema.org/draft/2020-12/schema"
    • removedInput schema / additionalProperties
      Removed value: -false
  2. First observed

TDQS

B3.1/5.0
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 mentions 'Requires authentication' but does not disclose what happens on save (e.g., whether duplicates are allowed, if it validates required fields, or what the response contains). Since the tool mutates state, this lack of behavioral detail is a significant gap.

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 two short sentences with no wasted words. It front-loads the core purpose and includes the auth requirement efficiently. However, it is so minimal that it sacrifices useful context, though that is more a completeness issue than a conciseness one.

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 10 parameters, no output schema, and no annotations, the description is far too thin. It does not explain how parameters like status, excitement, or salary fields should be used, nor what the tool returns. An agent needs more guidance to call this correctly, especially given the variety of optional fields.

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 all 10 parameters already have descriptions in the schema. The tool description adds no additional parameter context, so it does not exceed the baseline. It neither helps nor hurts beyond the schema.

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 'Save' and the resource 'a job' plus the destination 'your application tracker', making the purpose unambiguous. It distinguishes from siblings like create_company_job (which creates a company-level job) and get_saved_jobs (which retrieves saved jobs).

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. It does not mention that it is for personal tracking, nor does it contrast with update_job_status or remove_saved_job. The agent must infer usage from the name alone.

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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