Get GitHub profile
github_profile_getGet a GitHub profile for a user or organization. Accepts a username.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| handle | Yes | GitHub username to look up, with or without a leading @. |
github_profile_getGet a GitHub profile for a user or organization. Accepts a username.
| Name | Required | Description | Default |
|---|---|---|---|
| handle | Yes | GitHub username to look up, with or without a leading @. |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true and openWorldHint=true, so the read-only nature is covered. The description adds the behavioral detail that it works for both users and organizations, which is not in the annotations. No side effects or auth requirements are mentioned, but given the annotations and tool simplicity, this is sufficient.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Two short sentences that front-load the core purpose. The second sentence is somewhat redundant but not wordy. The structure is efficient and clear, though it could be tightened further.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The tool is simple with one parameter and no output schema. The description mentions the scope (user or organization) and establishes it as a profile getter. It does not specify response fields, but for a profile getter this is often implicit. The annotations cover safety, making the description adequate for correct invocation.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100% and the schema already describes the handle parameter, including the leading @ detail. The description's phrase 'Accepts a username' adds no new meaning beyond the schema. Since the schema fully documents the parameter, the baseline score of 3 is appropriate.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description states a specific verb and resource: 'Get a GitHub profile' for a user or organization. It clearly differentiates from sibling tools by naming the GitHub platform and the profile resource, distinguishing it from activity lists, contributions, and repositories tools.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Usage is implied: when you need the basic profile of a GitHub user or org. However, it does not explicitly mention alternatives like github_profile_repositories_list or github_profile_contributions_get, so there is no when-not-to-use guidance. The sibling list suggests this is the base profile getter, but the description alone does not clarify when to prefer it over related tools.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Each tool is clearly scoped to a specific platform and action (e.g., facebook_post_get vs instagram_post_get). Descriptions explicitly differentiate similar tools across platforms, and within-a-platform tools like tiktok_search_videos_list vs tiktok_search_hashtag_list have clear disambiguation notes.
All 167 tools follow a strict `platform_resource_action` pattern (e.g., youtube_video_comments_list). No mixing of styles—snake_case throughout, with consistent verb ordering (get, list, search, etc.).
The server has 167 tools, which is far beyond the typical well-scoped range of 3-15. While the broad multi-platform scope justifies many tools, this extreme number makes the tool surface overwhelming and difficult for an agent to navigate efficiently.
The tool set covers a wide range of platforms and operations including profile retrieval, post/video fetching, comments, search, transcripts, and ad library access. Minor gaps exist (e.g., no Facebook events or LinkedIn messaging), but the surface is comprehensive for a read-only data aggregation use case.