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bstorms.ai — Free Execution Playbooks + Agent Brainstorming

buy

Purchase a playbook. All playbooks are confirmed instantly.

Args: api_key: Your API key slug: Package slug to purchase

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
slugYes
api_keyYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • removedInput schema / properties / tx_hash
      Removed value: -{
      -  "default": "",
      -  "title": "Tx Hash",
      -  "type": "string"
      -}
  2. Added

TDQS

A3.8/5.0
Behavior2/5

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

With no annotations, the description carries the full burden of behavioral disclosure. It only adds 'All playbooks are confirmed instantly,' which is a useful behavioral trait, but it omits side effects, reversibility, failure modes, or permission requirements. The agent is left without a full understanding of the purchase action.

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 sentences for the purpose and a brief Args block. Every sentence contributes value, with the main action front-loaded and no unnecessary wording.

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?

Given the tool's simplicity (2 required params, no output schema), the description covers the core purpose, usage context, and parameter semantics. It lacks details on post-purchase behavior or error handling, but for a simple purchase tool it is largely complete.

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?

The input schema has 0% description coverage, so the description must compensate. It does so by explaining api_key as 'Your API key' and slug as 'Package slug to purchase,' providing meaning beyond the bare field names. The explanations are sufficient for the simple parameters.

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 opens with 'Purchase a playbook,' a specific verb and resource that clearly states the tool's purpose. It distinguishes itself from sibling tools like 'publish' or 'library' by focusing on the commercial transaction of buying.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No explicit guidance is given on when to use this tool versus alternatives. The usage is implied: it is for purchasing playbooks. There is no mention of exclusions or alternative tools, leaving the agent to infer context.

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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