get_latest_alert
Latest Discord-posted A+/B (same card as #alerts-a / #alerts-b). Check _pro_eligible before sizing.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Output Schema
| Name | Required | Description | Default |
|---|---|---|---|
| result | Yes |
Latest Discord-posted A+/B (same card as #alerts-a / #alerts-b). Check _pro_eligible before sizing.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
| Name | Required | Description | Default |
|---|---|---|---|
| result | Yes |
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?
With no annotations, the description must carry the behavioral burden by itself. It does add useful context: the alert comes from Discord, is restricted to A+/B, and requires a separate _pro_eligble verification before sizing. But it does not disclose staleness, possible absence of an alert, or failure behavior; those gaps are partially mitigated by the zero-param signature and presence of an output schema.
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, each earning its place: the first states the core output precisely, the second adds an actionable caveat. There is no filler, repetition, or re-statement of the tool name.
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?
For a zero-argument read tool with an output schema, the description is nearly complete: it identifies source, grade, and a usage condition. It could be even more robust by explicitly naming alternatives or the appropriate selection context, but nothing about parameters or return shape is left unexplained.
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?
There are 0 parameters and schema coverage is effectively 100%, so the description is not required to explain parameter semantics. In such a zero-param case, the baseline is 4, and the description does not need to compensate.
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 names the operation ('latest'), the resource ('Discord-posted A+/B alert'), and even identifies the source channels. This is far more specific than a tautological 'get_latest_alert' and lets an agent tell it apart from unrelated get_* tools, though it does not explicitly contrast with close siblings like list_alert_history or check_alert_tradeable.
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 gives one concrete instruction: check _pro_eligble before sizing, which implies the alert alone does not guarantee sizeability. However, it never explicitly says when to select this tool over the sibling alternatives, so the deiion of 'when not to use it' is only implied.
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 targets a distinct metric or workflow—alert checks, alert lists, gamma maps, volatility indices, replay timelines, execution plans—so an agent can reliably pick the right one from its description. Even the alert-related tools (get_latest_alert, list_alert_history, check_alert_tradeable) have clearly separate outputs.
All tool names follow a consistent verb_noun snake_case pattern (mostly get_, plus check_, format_, list_, plan_). This makes the set predictable and easy to scan.
At 32 tools, the surface is heavy and approaches a disorganized collection of endpoints rather than a curated set. Many individual get_* indicators could be grouped into a smaller number of dashboard or snapshot tools without losing clarity.
The server covers the core 0DTE intelligence lifecycle: alerts, historical replays, risk overlays, structure, gamma, volatility, news, and advisory planning. Minor gaps exist—such as a direct quote or option chain feed—but they are not essential to the stated purpose.