gluecron_explain_repo
Return the cached AI 'explain this codebase' Markdown for a repo. Pure read — never triggers a new generation (use the web UI for that).
This record as markdown: /tools/com-gluecron-gluecron/gluecron-explain-repo.md
What gluecron_explain_repo does on Gluecron
AI agents call gluecron_explain_repo to retrieve information from Gluecron without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
| Parameter | Type | Required | Description |
|---|---|---|---|
repo | string | Yes | |
owner | string | Yes |
Parameters from the server's own tool schema.
Why gluecron_explain_repo is rated Low
This tool retrieves and returns cached markdown documentation about a codebase. It performs no modifications, deletions, code execution, or external operations. The description explicitly states it is a 'pure read' operation that never triggers generation, making it a straightforward data retrieval operation with minimal risk if misused by an AI agent.
From the tool's definition 'Return the cached AI' and 'Pure read — never triggers a new generation' indicate this tool only retrieves pre-generated documentation without side effects.
Attacks that exploit this kind of access
The rule that runs gluecron_explain_repo safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Gluecron, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For gluecron_explain_repo, this is the rule to start with:
gluecron_explain_repo is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Gluecron, apply this rule, and every gluecron_explain_repo call is checked against it from then on.
Questions about gluecron_explain_repo
Return the cached AI 'explain this codebase' Markdown for a repo. Pure read — never triggers a new generation (use the web UI for that). It is categorised as a Read tool in the Gluecron MCP Server, which means it retrieves data without modifying state.
gluecron_explain_repo accepts 2 parameters: repo, owner. Required: repo, owner. The full parameter table on this page comes from the server's own tool schema.
Register the Gluecron MCP server in PolicyLayer and add a rule for gluecron_explain_repo: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Gluecron. Nothing to install.
gluecron_explain_repo is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the gluecron_explain_repo rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for gluecron_explain_repo. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
gluecron_explain_repo is provided by the Gluecron MCP server (https://gluecron.com/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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