Skip to main content
Glama
longbridge

longbridge

Official

Business Segments History

business_segments_history
Read-onlyIdempotent

Retrieve historical revenue trends for business segments and regional segments across quarterly, semi-annual, or annual periods for a given security.

Instructions

Get historical business segment revenue trends (by period and category). Returns historical[].{date, total, currency, business[{name,percent,value}], regionals[{name,percent,value}]}

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
symbolYesSecurity symbol, e.g. "AAPL.US"
reportNoReport period: "qf" (quarterly), "saf" (semi-annual), "af" (annual)
cateNoSegment category filter
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already indicate it's read-only, idempotent, and open-world. The description adds the return structure, which is helpful, but does not disclose other behaviors like pagination, rate limits, or error handling. Overall, it provides moderate additional context beyond annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single sentence that efficiently conveys purpose and return structure. No extraneous words; front-loaded with the key action and resource.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The return structure is explicitly defined, which compensates for the lack of an output schema. The description covers the main purpose and parameters adequately, though it could clarify optionality or defaults for 'report' and 'cate'. Overall, it's mostly complete for a read-only tool with good annotations.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so the parameters are already well-documented. The description only implicitly references 'period and category' without adding new details. Baseline 3 is appropriate as the schema does the heavy lifting.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action 'Get' and the resource 'historical business segment revenue trends', and mentions filtering by period and category. It also outlines the return structure. However, it does not differentiate from the sibling 'business_segments' tool, which likely provides current data, leaving potential ambiguity.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

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. The description lacks any context for preferred use cases, prerequisites, or when not to use it. Given the many sibling tools, this omission is a significant gap.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/longbridge/longbridge-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server