get_pricing
Pricing and data coverage information. Free.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Pricing and data coverage information. Free.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden. The word 'Free' adds a minor note about cost, but it does not disclose other behavioral traits such as whether the tool is read-only, requires authentication, or returns specific structures. The description is overly minimal for a tool with no schema details.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely short and every word is concise, but the fragment 'Free.' is somewhat extraneous. It is not structured or front-loaded, but there is little content to structure. It earns a 4 for being efficiently sized.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The tool has no parameters and no output schema, so the description should explain what the tool returns or covers. It only says 'Pricing and data coverage information,' which is vague and does not clarify whether this is general information or ticker-specific. Given the sibling tools, this lacks essential context for an agent to know when and how to invoke it.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has zero parameters, so there is no parameter information to supplement. The baseline of 4 applies because the description does not need to explain parameters, and it does not mislead.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description states 'Pricing and data coverage information,' which identifies the subject matter but lacks a verb phrase. It is more descriptive than tautological, but it doesn't clearly specify what the tool does (e.g., 'retrieves pricing plans') and does not differentiate it from sibling tools like get_stats or get_bars.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
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 phrase 'Pricing and data coverage information' implies a use case, but there is no explicit context, exclusions, or mention of sibling tools.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
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.
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.
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.
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.