Skip to main content
Glama

search_developers

Discover GitHub developers by programming languages, location, and minimum follower or repo count. Results sorted by followers for quick talent identification.

Instructions

Search GitHub developers by technical and geographic filters.

Returns a list of matching usernames sorted by followers. Use get_developer_profile on interesting candidates for full enrichment and to verify recent activity.

For topic-based sourcing (e.g. "LLM", "inference"), use get_repo_contributors on relevant repos instead — GitHub user search doesn't support topic/bio search.

Args: languages: Filter by programming languages, e.g. ["python", "rust"] location: Filter by location, e.g. "San Francisco" or "Germany" min_followers: Minimum follower count min_repos: Minimum public repo count limit: Max results to return (default 20, max 100)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
languagesNo
locationNo
min_followersNo
min_reposNo
limitNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

No annotations provided, so description carries full burden. It discloses output format (usernames sorted by followers) and limit constraints. Lacks details on case sensitivity or matching behavior, but overall adequate.

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?

Front-loaded with purpose, then results, usage guidance, and args. Every sentence adds value; no fluff. 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 5 parameters, no required ones, and output schema exists, description covers all needed aspects: filters, results, usage guidance, and alternatives. Complete for a search tool.

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

Parameters5/5

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

Schema coverage is 0%, but description explains all five parameters with types and examples (e.g., languages as array of strings, location string, default and max for limit), adding meaning beyond 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 tool searches GitHub developers by technical and geographic filters, returns usernames sorted by followers, and distinguishes itself from sibling tools like get_repo_contributors and get_developer_profile.

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 provides when to use and when not to use: for topic-based sourcing, recommends get_repo_contributors instead, and for full enrichment, suggests get_developer_profile.

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/carolinacherry/github-talent-mcp'

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