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axionquant

AxionQuant MCP Server

Official
by axionquant

webtraffic_traffic

Retrieve website traffic metrics for a company by stock ticker to analyze online presence and audience engagement.

Instructions

Get website traffic data for a company

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tickerYesStock ticker
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 only that it 'gets' data, implying a read operation, but does not disclose output format, time range, availability, rate limits, or any side effects. The brevity leaves the agent uninformed about what to expect beyond the action itself.

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, clear sentence with zero fluff. It is front-loaded with the action and object, and every word earns its place. Ideal conciseness.

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?

Given the lack of an output schema and annotations, the description should provide more detail about what 'website traffic data' includes (e.g., metrics, time series, historical vs. current). It does not specify the return format or any limitations, making it incomplete for an agent that needs to know if this tool answers a specific query. For a one-parameter tool, this is still inadequate.

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?

Schema description coverage is 100% for the single parameter (ticker), and the schema already describes it as 'Stock ticker.' The description does not add any extra semantic meaning, such as ticker format, exchange, or case sensitivity. Baseline 3 applies because the schema provides sufficient documentation; the description fails to enhance it.

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 clearly states the tool's purpose: 'Get website traffic data for a company.' It uses a specific verb (Get) and resource (website traffic data) and uniquely distinguishes itself from all siblings, none of which mention web traffic. No tautology or 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. It does not mention any prerequisites, typical use cases, or exclusions. Context signals show no sibling mentions this feature, but the description offers no explicit selection criteria or when-not-to-use conditions, leaving the agent to infer.

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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