Ledger Alerts
ledger_alertsAlerts for an agent (budget warnings, spending spikes).
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| agent_id | Yes |
Output Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
ledger_alertsAlerts for an agent (budget warnings, spending spikes).
| Name | Required | Description | Default |
|---|---|---|---|
| agent_id | Yes |
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
There are no annotations describing side effects, read-only nature, or potential destructive actions. The description does not explicitly state that this operation is non-mutating, and the noun-phrase format leaves doubt about whether it only reads alerts or performs some action.
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 extremely short and relies on a noun phrase. While it avoids fluff, it is too sparse to be considered appropriately concise—it omits essential action and usage information, making it more under-specified than tightly worded.
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?
No output schema or return behavior is described. The description does not indicate what the tool returns (e.g., a list of alert objects, a count, or a status), leaving a critical part of the tool's contract missing.
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 only parameter, agent_id, is not explained. The description does not clarify what an agent is, how the ID is used, or whether it filters alerts by agent. Without this, an agent cannot confidently construct a correct invocation.
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 is a noun phrase ('Alerts for an agent') rather than a clear verb phrase. It indicates the subject (alerts) and the context (agent, budget warnings, spending spikes) but does not state whether it retrieves, lists, or generates alerts, leaving the tool's action ambiguous.
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?
No guidance is provided about when to use this tool versus sibling tools like ledger_report or ledger_track. It does not mention scenarios where alert retrieval is preferred or how it differs from other 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 has a clear, distinct purpose: listing agents, tracking spend, setting budgets, generating reports, and retrieving alerts. No functional overlap or ambiguity.
All tools follow the consistent 'ledger_<verb>' pattern (list_agents, track, set_budget, report, alerts), with only minor variation in verb/noun form but maintaining a uniform prefix and readable style.
Five tools is well-scoped for a focused ledger/agent-spending domain, covering core actions without unnecessary bloat or missing essentials.
The toolset provides comprehensive coverage for the domain: tracking spend, managing budgets, listing agents, generating reports, and surfacing alerts. No obvious gaps for typical use cases.