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danchev

openmarkets

by danchev

get_full_financials

Aggregate all financial statements and records for any ticker into a single data dictionary.

Instructions

Retrieve a full set of financial data for a given ticker, aggregating all available financial statements and records.

Args: ticker (str): The symbol of the security.

Returns: dict: Dictionary containing all financial data for the ticker.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tickerYes
Behavior3/5

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

No annotations are provided, so the description bears full burden. It mentions 'aggregating all available financial statements and records,' which hints at combining data, but lacks details on performance, data freshness, or whether the aggregation is real-time or cached. It does not disclose potential side effects or constraints.

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

Conciseness4/5

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

The description is concise with two sentences plus structured Args/Returns. It is front-loaded with the main action. However, it could be more structured by separating the aggregation detail more clearly.

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

Completeness3/5

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

With one parameter and no output schema, the description is adequate but incomplete. It does not specify what 'full set' includes (e.g., balance sheet, income statement, cash flows) or whether the dictionary structure is documented elsewhere. The presence of many sibling tools heightens the need for more precision.

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

Parameters4/5

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

The input schema has no descriptions for the single parameter 'ticker.' The description adds meaning by stating 'ticker (str): The symbol of the security,' clarifying the parameter's purpose beyond the schema. This is valuable given 0% schema coverage.

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

Purpose5/5

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

The description clearly states the tool retrieves 'a full set of financial data' for a ticker, 'aggregating all available financial statements and records.' This distinguishes it from siblings like get_balance_sheet or get_income_statement, which are for specific statements.

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

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies the tool is for obtaining comprehensive financial data in one call, but it does not explicitly state when to use it versus alternatives (e.g., specific statement tools) or mention any prerequisites or limitations. No guidance on when not to use is provided.

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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