Skip to main content
Glama

Star Company

star_listing

Star a company to subscribe to their job postings. Match tech stacks before starring to avoid noise.

Instructions

Star/save a company listing. Starring subscribes you to their job postings — starred company jobs appear in get_starred_jobs. IMPORTANT: Only company-type listings can be starred. Starring is FREE — it does not consume budget. However, there is a limit on how many active stars you can have at once (based on your plan). Call get_star_count to check remaining star slots. CRITICAL: Only star companies where the user's tech stack genuinely overlaps with the company's tech stack. A React/Node developer should NOT star a company that only uses Go or Java. Irrelevant stars pollute the job feed with noise. Every star must be a deliberate, high-quality match.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
listingIdYesThe ID of the listing to star
Behavior5/5

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

Beyond annotations (readOnlyHint=false, destructiveHint=false), the description discloses that starring is free (no budget consumption), has a plan-based limit, and subscribes to job postings. These behavioral traits are not evident from annotations alone.

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 the main action and purpose, then provides important details. While it is somewhat long, every sentence adds value. Could be slightly more concise but is well-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, the description explains the effect (appears in get_starred_jobs), constraints (only companies, tech stack overlap, plan limit), and references related tools. It is complete for the agent to understand when and how to invoke this tool.

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?

Schema coverage is 100% with listingId documented. The description adds the constraint that only company-type listings can be starred, which adds meaningful usage context beyond the schema definition.

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 stars/saves a company listing, subscribes the user to job postings, and mentions that starred companies appear in get_starred_jobs. It distinguishes from siblings like unstar_listing and save_job by specifying only company-type listings can be starred.

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?

Provides explicit when-to-use (star companies with tech stack overlap) and when-not-to-use (irrelevant stars pollute job feed). References alternatives like get_starred_jobs, get_star_count, and unstar_listing. Also mentions plan limits and calls get_star_count to check remaining slots.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/remoet-labs/remoet-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server