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get_company_chart_data

Retrieve structured revenue, income, cash-flow, debt, and growth data from SEC EDGAR to plot financial charts.

Instructions

Return structured revenue, income, cash-flow, debt, and growth data for plotting.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
cikYes
yearsNo
contact_emailYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

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 the data returned but does not mention the data source, the required contact_email, or any potential rate limits or failure modes. This is a thin description for a data-retrieval tool.

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 one concise, front-loaded sentence that clearly states the primary output. It is not verbose, though it does sacrifice necessary detail for brevity. The structure is clean and easy to parse.

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

Completeness2/5

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

Despite having an output schema (which reduces the need to explain return values), the description lacks essential context: usage guidance, parameter semantics, and behavioral notes. For a tool with three parameters and a broad financial data scope, this is insufficient for reliable tool selection and invocation.

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 does not explain any of the three parameters (cik, years, contact_email). It does not even hint at how years affects the data range or why contact_email is required, leaving the agent to guess parameter semantics.

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 uses a specific verb 'Return' with a clear resource: structured revenue, income, cash-flow, debt, and growth data for plotting. It distinguishes itself from sibling tools like get_company_financials (broader financials) and get_financial_fact (single fact) by explicitly targeting chart-ready 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?

The description provides no guidance on when to use this tool compared to alternatives. It does not mention exclusions, prerequisites, or scenarios where other tools would be more appropriate, so the agent is left without contextual decision support.

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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