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View Starred Companies

get_starred_listings
Read-only

Retrieve your starred companies and audit them for tech stack alignment. Suggests unstarring mismatched ones and finding better matches.

Instructions

Get the list of companies the user has already starred. Returns a summary per company — use get_listing with the slug for full details. Use this to audit their current stars — if any starred company's tech stack doesn't overlap with the user's skills, suggest unstarring it (but warn that unstarring consumes unstar budget).

STAR QUALITY AUDIT: Cross-reference the user's profile technologies against each starred company's tech stack. Flag companies with zero overlap — e.g. a React/Node developer starring a company that only uses Go and Rust. Suggest companies they should star but haven't — search for companies matching their tech stack and compare against current stars. A curated star list is the foundation of a useful job feed.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

Annotations already indicate readOnlyHint=true and destructiveHint=false. The description adds context about return format (summary per company) and the audit procedure, which goes beyond annotations.

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 front-loaded with purpose and usage, but the additional audit block is somewhat verbose. However, it remains useful and structured.

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

Completeness5/5

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

Given no output schema and no parameters, the description fully explains what the tool returns and how to act on it, making it complete for an agent.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

No parameters exist, so the description cannot add parameter info. Schema coverage is 100%, meeting the baseline for zero-parameter tools.

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 tool retrieves the user's starred companies, using specific verbs ('Get the list') and distinguishes it from siblings like 'get_starred_jobs' and 'get_listing'.

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

Usage Guidelines5/5

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

Explicitly states when to use: 'Use this to audit their current stars' and provides detailed guidance on actions (suggest unstarring, search for replacements), including a caveat about unstar budget.

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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