Skip to main content
Glama

get_balance_data

Retrieve quarterly balance sheet data for A-share stocks by stock code, year, and quarter, enabling financial statement analysis and comparison.

Instructions

Quarterly balance sheet data.

Input Schema

NameRequiredDescriptionDefault
codeYes
yearYes
limitNo
formatNomarkdown
quarterYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

C2.3/5.0
Behavior2/5

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

No annotations are provided, so the description carries full burden. It mentions 'Quarterly balance sheet data' but doesn't disclose behavioral traits like whether it's a read-only operation, requires authentication, has rate limits, returns structured data, or handles errors. This leaves significant gaps for a tool with 5 parameters.

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 extremely concise with a single phrase, front-loaded and zero waste. However, this conciseness comes at the cost of under-specification, but based on the dimension's focus on brevity and structure, it scores high.

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

Completeness1/5

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

Given 5 parameters with 0% schema coverage, no annotations, no output schema, and many sibling tools, the description is completely inadequate. It doesn't explain the tool's function, usage, behavior, parameters, or output, leaving the agent with insufficient information to use it correctly.

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

Parameters1/5

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

Schema description coverage is 0%, and the description provides no information about parameters. It doesn't explain what 'code', 'year', 'quarter', 'limit', or 'format' mean, their expected values, or how they affect the output, failing to compensate for the lack of schema documentation.

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

Purpose3/5

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

The description 'Quarterly balance sheet data' indicates the resource (balance sheet data) and temporal scope (quarterly), but lacks a specific verb and doesn't distinguish from siblings like get_cash_flow_data or get_profit_data. It's vague about what the tool actually does (e.g., retrieve, analyze, or generate this data).

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 is provided on when to use this tool versus alternatives. With many sibling tools for financial data (e.g., get_cash_flow_data, get_profit_data), the description offers no context for selection, prerequisites, or exclusions.

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