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Search Financial Instruments

figi.finance.search
Read-onlyIdempotent

Search 300M+ financial instruments by company name or ticker. Filter by exchange and security type. Returns Bloomberg FIGI, ticker, name, market sector for equities, ETPs, bonds, derivatives.

Instructions

Search 300M+ financial instruments by company name or ticker keyword. Filter by exchange and security type. Returns Bloomberg FIGI, ticker, name, market sector. Covers equities, ETPs, bonds, derivatives globally.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesSearch query — company name or ticker (e.g. "Tesla", "Apple Inc", "MSFT")
exchange_codeNoFilter by exchange code (e.g. US, LN, JP)
security_typeNoFilter by security type (e.g. "Common Stock", "ETP", "REIT")

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultNoTool response payload. Shape varies per tool — consult the tool description and inputSchema. May be an object, array, string, or number depending on the upstream provider response.
errorNoPresent only when the call failed. Includes error code, message, request_id, and any provider-specific extras.
Behavior4/5

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

Annotations already indicate read-only, non-destructive, idempotent, and open-world behavior. The description adds valuable context about the return fields (Bloomberg FIGI, ticker, name, market sector) and global coverage of asset types, which is consistent with 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 highly concise at four sentences, front-loading the core action and key features. Every sentence adds value without redundancy, making it efficient for agent comprehension.

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

Completeness5/5

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

Given the presence of an output schema and comprehensive annotations, the description adequately covers the tool's functionality. It mentions the types of instruments and return fields, providing sufficient context for correct invocation.

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?

The input schema covers all parameters with descriptions, achieving 100% coverage. The description reinforces the filter parameters but does not provide additional semantic detail beyond the schema.

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 tool searches financial instruments by name or ticker and can filter by exchange and security type. It effectively conveys the core purpose but does not explicitly differentiate from sibling tools like 'figi.finance.filter' or 'figi.finance.map'.

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

Usage Guidelines4/5

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

The description provides clear context on when to use this tool (searching by company name or ticker) and how to narrow results with optional filters. However, it does not mention when to use sibling tools instead, leaving some ambiguity.

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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