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get_segments

Retrieve detailed revenue and operating income breakdowns by business segment for a specific company to analyze financial performance across divisions.

Instructions

Get revenue and operating-income breakdown by business segment for a company.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
company_idYesCompany ID from search_companies
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It states what data is retrieved but does not mention critical aspects like whether this is a read-only operation, potential rate limits, authentication requirements, or the format of the returned data. For a tool with zero annotation coverage, this is a significant gap in transparency.

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, efficient sentence that directly states the tool's purpose without unnecessary words. It is front-loaded with the key action and resource, making it easy to parse quickly. Every part of the sentence contributes to understanding the tool's function.

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?

For a tool with one parameter and no output schema, the description adequately covers the basic purpose. However, it lacks details on behavioral traits (e.g., read-only status, data format) and usage guidelines relative to siblings, which are important given the server's many financial data tools. The absence of annotations and output schema increases the need for more contextual information in the description.

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 has 100% description coverage, with the 'company_id' parameter clearly documented as 'Company ID from search_companies'. The description does not add any additional meaning or context beyond this, such as explaining how the ID is used or any constraints. Given the high schema coverage, a baseline score of 3 is appropriate.

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 specific resource ('revenue and operating-income breakdown by business segment for a company'), making the purpose immediately understandable. However, it does not explicitly differentiate this tool from sibling tools like 'get_financials' or 'get_company', which might also provide financial data, leaving room for 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?

The description provides no guidance on when to use this tool versus alternatives, such as 'get_financials' or 'get_company', which could offer overlapping or related financial information. It lacks explicit instructions on prerequisites, context, or exclusions, leaving the agent to infer usage based on the tool name alone.

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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