orderbook
Retrieve order book depth for a stock symbol to analyze market liquidity and bid-ask spread.
Instructions
Read orderbook for a symbol.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| symbol | Yes |
Retrieve order book depth for a stock symbol to analyze market liquidity and bid-ask spread.
Read orderbook for a symbol.
| Name | Required | Description | Default |
|---|---|---|---|
| symbol | Yes |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations are missing, so the description carries full burden. It only states 'Read' but does not disclose data recency, depth levels, response structure, or any side effects. For a read operation, basic behavioral context is absent.
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 concise (5 words) with no fluff. However, the brevity sacrifices necessary detail, making it efficient but potentially insufficient.
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?
Given no output schema and no annotations, the description should explain what the orderbook contains (e.g., bids/asks, levels) and return format. It fails to provide this, leaving the agent with incomplete understanding.
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 0%. The description adds no meaning beyond the schema's regex pattern for 'symbol'. It does not explain case sensitivity, valid formats, or how the symbol maps to the orderbook.
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 states the action ('Read') and resource ('orderbook') with a specific context ('for a symbol'). It distinguishes itself from sibling tools like 'candles' and 'stock_info'.
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 on when to use this tool versus alternatives like 'candles' or 'prices'. No explicit conditions or when-not-to-use scenarios are provided.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/EthanKlocked/tossinvest-openapi-mcp'
If you have feedback or need assistance with the MCP directory API, please join our Discord server