list_repos
List all GitHub repositories saved in the repo list to see which ones are currently tracked.
Instructions
List all GitHub repositories currently saved in the repo list.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
List all GitHub repositories saved in the repo list to see which ones are currently tracked.
List all GitHub repositories currently saved in the repo list.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description alone must convey behavior. It clearly states that this lists repos 'saved in the repo list,' indicating it is a read-only operation without side effects. There is no hidden complexity or misleading information, though it could have explicitly mentioned that it does not fetch from GitHub's live API.
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?
The description is a single, front-loaded sentence that directly states the action and scope. Every word serves a purpose, with no filler or redundancy.
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?
Given the tool's simplicity (no parameters, no output schema), the description fully covers what an agent needs to know. The return type (a list of repos) is implied by 'List all,' and there are no additional context requirements.
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?
The tool has zero parameters, so the description does not need to explain any parameter semantics. Baseline of 4 is appropriate as the description fully aligns with the empty input schema and gives no conflicting cues.
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 uses the specific verb 'List' and names the exact resource: 'GitHub repositories currently saved in the repo list.' This clearly distinguishes it from sibling tools like add_repo, remove_repo, and get_repo_info, making the purpose unambiguous.
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?
The description clearly implies when to use this tool (to see saved repos) and differentiates from sibling tools that operate on individual repos or list files within a repo. However, it does not explicitly state when not to use it or name alternatives, so it stops short of a 5.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/Haavi97/github-mcp'
If you have feedback or need assistance with the MCP directory API, please join our Discord server