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danchev

openmarkets

by danchev

get_sector_overview

Retrieve overview data for a named sector, including its performance and key statistics.

Instructions

Retrieve overview information for a specific sector.

Args: sector (str): The name of the sector. Returns: SectorOverview: Overview data for the sector.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sectorYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
companies_countYesNumber of companies in the sector
market_capYesTotal market capitalization of the sector
message_board_idYesMessage board identifier
descriptionYesSector description
industries_countYesNumber of industries in the sector
market_weightYesMarket weight of the sector
employee_countYesTotal number of employees in the sector
Behavior2/5

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

With no annotations, the description carries full burden for behavioral disclosure. It only says 'retrieve overview information', implying a read operation but providing no details on side effects, authorization, or return behavior (e.g., error cases, pagination). This is minimal.

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 very concise with no wasted words. It efficiently conveys the core purpose and parameter. While it could benefit from more detail, it is not verbose.

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?

Given the output schema exists and one simple parameter, the description is somewhat adequate. However, it does not explain what 'overview information' entails, leaving ambiguity. A more complete description would clarify the scope or differentiate from related tools.

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

Parameters2/5

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

Schema coverage is 0%, so the description must add meaning. It states 'sector (str): The name of the sector.' but offers no format, examples, or valid values. This is a basic definition that adds little beyond the parameter name.

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 retrieves overview information for a specific sector, using a specific verb and resource. However, it does not differentiate from similar sibling tools like 'get_industry_overview' or 'get_sector_overview_for_ticker', which could lead to confusion.

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. The description does not mention prerequisites, context, or exclude scenarios, making it hard for an AI to decide when this is the correct tool.

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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