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get_company

Company profile: name, CIK, industry, exchange, fiscal year. $0.005 USDC.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tickerYesStock ticker (e.g. AAPL)

TDQS

B3.4/5.0
Behavior3/5

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

With no annotations provided, the description carries the burden of behavioral disclosure. It adds the cost ($0.005 USDC) and the specific fields returned, which are useful. However, it does not disclose details like authentication, error handling, or the format of the response, though as a read-only tool the risk is lower.

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 extremely concise: two clauses that clearly list the return fields and the cost. It is front-loaded with the core purpose and contains no unnecessary words or repetition.

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

Completeness4/5

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

For a simple one-parameter lookup tool, the description is quite complete. It lists the expected output fields and the cost, which are the most relevant operational details. It does not explicitly state the response format (e.g., JSON), but this is standard and not critical. Given the simple nature and absence of an output schema, this is sufficient.

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 schema already fully documents the ticker parameter with an example (100% coverage), so the description doesn't need to explain the parameter itself. The description indirectly clarifies that the ticker is used to fetch the listed profile fields, which provides context but no additional syntactic or 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 identifies the tool as returning a company profile with specific fields (name, CIK, industry, exchange, fiscal year), which distinguishes it from siblings like get_filings or get_fundamentals. However, it uses a noun phrase rather than a verb like 'retrieves' or 'gets', though the tool name provides the action.

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 implies usage when company profile data is needed by listing the fields, but it provides no explicit guidance on when to use this tool over alternatives. No alternatives are referenced, and no exclusions are stated.

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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TDQS

B3/5.0
Disambiguation2/5

Several tools overlap significantly: get_bars, query_minute_bars, query_range, and query_batch all provide intraday bar data, making it hard to distinguish when to use which. Additionally, get_brief and get_fundamentals overlap in fundamentals coverage. The descriptions do not clearly delineate boundaries between these tools.

Naming Consistency3/5

The naming pattern is a mix of get_* and query_* prefixes, with list_ and scan_ as exceptions. While each individual name is readable, similar operations like get_bars and query_minute_bars use different verbs, making the overall convention inconsistent.

Tool Count4/5

15 tools is a reasonable count for a comprehensive financial data server, covering market data, fundamentals, filings, insiders, and scanning. The count is not excessive, though the overlapping intraday bar tools suggest some redundancy that could be consolidated.

Completeness4/5

The tool surface is fairly complete for its domain, offering intraday and daily market data, fundamentals, SEC filings, insider transactions, company profiles, and market scanning. Minor gaps exist (e.g., no dedicated dividend/split tool), but these are not critical and can be worked around via existing tools like get_brief.

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