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agent-blueprint

free-blueprints

list_blueprints

Get a catalog of free pre-built AI agent blueprints for common business processes without signing up or using an API key.

Instructions

List available free AI agent blueprints. Returns catalog of pre-built blueprints for common business processes. No signup or API key required.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

No annotations are provided, so the description carries the full burden. It discloses that no signup or API key is required, a useful behavioral trait, and states that it returns a catalog. However, it does not explicitly confirm it is a read-only operation, nor mention pagination, rate limits, or expected response format. Given the simplicity of the tool, this is adequate but not exhaustive.

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 two sentences with zero redundancy. It leads with the core action and then adds a crucial access detail. Every word earns its place, making it highly efficient and easy to parse.

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 parameterless, output-schema-less list tool, the description states what it does and returns. It does not specify the exact structure of the catalog, but given the simplicity and that no output schema exists, the description is sufficiently complete for an agent to correctly invoke it and understand the general result. The lack of sibling differentiation is a minor gap.

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 tool has zero parameters, so schema coverage is trivially high. The description correctly adds no parameter information because none are needed. With 0 params, the baseline is 4, and the description appropriately does not discuss parameters.

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 states a specific verb ('List') and a clear resource ('available free AI agent blueprints'). It clearly identifies the tool's function as returning a catalog, which distinguishes it from a retrieval tool like get_blueprint, though it does not explicitly name the sibling. The purpose is clear and unambiguous.

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?

The description implies usage context by noting that no signup or API key is required, which hints at accessibility but does not explicitly compare to alternatives. It does not state when to use this tool versus get_blueprint, nor provide any exclusion criteria. The guidance is minimal but not misleading.

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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