getTradingHalts
Live stock market circuit breaker triggers, LULD (Limit Up-Limit Down) halts, and pending regulatory trading resumptions.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| exchange | No | Stock exchange filter (e.g., NYSE, NASDAQ, LSE) |
Live stock market circuit breaker triggers, LULD (Limit Up-Limit Down) halts, and pending regulatory trading resumptions.
| Name | Required | Description | Default |
|---|---|---|---|
| exchange | No | Stock exchange filter (e.g., NYSE, NASDAQ, LSE) |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full behavioral burden. It states the data is live and lists halt types, but does not disclose authentication needs, data refresh cadence, coverage limitations, source, or the shape of returned results. For a retrieval tool with zero structured behavioral metadata, this is a significant gap.
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 concise sentence with no filler, and the key content is front-loaded. It is appropriately sized for a simple data retrieval tool.
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 low-complexity tool with one optional parameter, the description conveys the kind of data returned. However, with no output schema and no annotations, it omits usage context and behavioral details that would help an agent invoke it with confidence. It meets the minimum viable threshold but leaves clear gaps.
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?
Schema description coverage is 100%, so the exchange parameter is already fully documented in the schema. The description adds no additional parameter meaning, syntax, or filtering behavior beyond what the schema provides. Baseline 3 is appropriate when the schema does the heavy lifting.
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 clearly identifies the data domain: live stock market circuit breaker triggers, LULD halts, and pending regulatory trading resumptions. It aligns with the tool name getTradingHalts and lets an agent understand the resource without opening the schema. It does not explicitly differentiate itself from sibling financial data tools such as getStockEodPrices or getOptionsChainGreeks.
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 provides no guidance on when to use this tool versus alternatives. It does not mention market conditions, exchanges, or any exclusion criteria. Usage is only implied by the tool name and content.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
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