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sebbi.pro - the proof layer for AI

Setup plan for their stack

sebbi_setup_advice
Read-only

Recommends the right sebbi.pro products for how someone builds (Python, Node, Lovable, Zapier, a website, a phone app...) and gives step-by-step setup with working code or a ready-made prompt. Pass their stack and what they want to achieve. Read-only.

Input Schema

NameRequiredDescriptionDefault
goalNoWhat they want, e.g. 'prove our loan AI is compliant', 'cut our OpenAI bill'
stackYesHow they build or what they use, e.g. 'Lovable website', 'Python on AWS', 'Zapier'
deviceNoWhere they are working from, e.g. 'Android phone', 'Mac'
api_keyNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.4/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false, and openWorldHint=true, so safety is covered and the trailing 'Read-only' is largely redundant. The description does add value by disclosing the output shape (step-by-step setup with working code or a ready-made prompt), which is beyond what annotations say.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Front-loaded with the main action, followed by a short input hint. Mostly efficient single flowing sentence plus a brief instruction, though the trailing 'Read-only' repeats annotation data.

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?

With no output schema, the description usefully explains that it returns a setup plan with code or a prompt, which covers the return value. However, it says nothing about the unexplained api_key parameter or any auth requirement, leaving a real gap for an openWorld tool.

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 coverage is 75%, and the description corroborates 'stack' and 'goal' via 'Pass their stack and what they want to achieve' but adds no syntax or format detail. The 'device' and undocumented 'api_key' parameters get no treatment in the description, so it does not compensate for the coverage gap.

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?

States a specific verb and resource: it recommends sebbi.pro products and produces a step-by-step setup with code or a prompt. An agent can grasp the function quickly, though it does not explicitly differentiate itself from the setup-flavoured sibling sebbi_gateway_setup.

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 gives input-side context ('Pass their stack and what they want to achieve') which implies usage, but there is no when-to-use vs when-not guidance and no alternative sibling is named. The agent must infer selection.

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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