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bestaiimageprompt-mcp

bestaiimageprompt-mcp

by rocnubie
OverviewSchemaSourceRelated ServersDiscussionsAdmin
JavaScript
Remote

get_pricing

Access the canonical pricing information for Best AI Image Prompt to evaluate subscription options and costs.

Instructions

Return the canonical pricing entry point for Best AI Image Prompt.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "get_pricing"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

B3.4/5.0
Behavior3/5

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

With no annotations, the description carries full burden for behavioral disclosure. It implies a read-only operation ('Return'), which is appropriate for a pricing tool, but does not mention any limitations, authentication needs, or rate limits. The simplicity of a zero-parameter tool mitigates the need for extensive disclosure, resulting in an adequate score.

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, concise sentence that clearly communicates the tool's purpose without any extraneous information. It is appropriately front-loaded and efficient.

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?

Given the tool has no parameters, no output schema, and simple sibling context, the description is partially complete. It clearly states the tool's action but does not describe the output format or what the 'pricing entry point' exactly is (e.g., URL, string, object). This ambiguity reduces completeness.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

There are no parameters in the input schema, so schema coverage is 100%. The description adds no parameter information, which is acceptable since none exist. Baseline score of 4 is appropriate as the description does not need to compensate for missing parameter details.

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 tool returns the 'canonical pricing entry point' for Best AI Image Prompt. It uses a specific verb 'Return' and specifies the resource 'pricing entry point', which distinguishes it from sibling tools like get_official_links and list_styles. However, it could be more precise about what constitutes a 'pricing entry point'.

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 context, prerequisites, or when not to use it, leaving the agent to infer usage based solely on the tool's name and purpose.

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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