gluecron_ai_cost_summary
Return AI spend rollups. Scope by one of: user_id (self), repo {owner,repo}, or agent_session_id. Defaults to caller's user spend.
This record as markdown: /tools/com-gluecron-gluecron/gluecron-ai-cost-summary.md
What gluecron_ai_cost_summary does on Gluecron
AI agents call gluecron_ai_cost_summary 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 | — | |
owner | string | — | |
scope | string | — | 'user' (default) | 'repo' | 'agent' |
agent_session_id | string | — |
Parameters from the server's own tool schema.
Why gluecron_ai_cost_summary is rated Low
Read-only financial summary data; no transactions or modifications involved.
From the tool's definition Return AI spend rollups... Defaults to caller's user spend
Attacks that exploit this kind of access
The rule that runs gluecron_ai_cost_summary 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_ai_cost_summary, this is the rule to start with:
gluecron_ai_cost_summary 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_ai_cost_summary call is checked against it from then on.
Questions about gluecron_ai_cost_summary
Return AI spend rollups. Scope by one of: user_id (self), repo {owner,repo}, or agent_session_id. Defaults to caller's user spend. It is categorised as a Read tool in the Gluecron MCP Server, which means it retrieves data without modifying state.
gluecron_ai_cost_summary accepts 4 parameters: repo, owner, scope, agent_session_id. 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_ai_cost_summary: 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_ai_cost_summary 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_ai_cost_summary 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_ai_cost_summary. 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_ai_cost_summary 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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