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Sutra

by 4rgon4ut
OverviewSchemaRelated ServersScoreDiscussions
Python
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design_context_architecture

Architects a custom context system from a high-level goal and optional constraints, returning a blueprint of Sutra components (Molecules, Cells, Organs, Thinking Models) for building persistent agents or complex workflows.

Instructions

Architects a custom context system based on a high-level goal (The Architect).
Returns a blueprint of Sutra components (Molecules, Cells, Organs, Thinking Models).

Use this when the user wants to build a persistent agent or complex workflow
rather than solving a single immediate task.

Args:
    goal: The user's objective (e.g., "Build a writing assistant that learns my style").
    constraints: Optional limits (e.g., "Must be lightweight").

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
goalYes
constraintsNo

Tool Definition Quality

B3.3/5.0
Behavior2/5

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

No annotations provided; description does not disclose side effects, authentication needs, or what 'persistent' entails. The term 'blueprint' is vague without output schema.

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?

Efficient use of three short paragraphs; front-loaded with main action and usage. No redundancy.

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?

Lacks details on return structure, side effects, and prerequisites. Without output schema, more description needed on the blueprint format and components.

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?

Adds meaning to parameters with descriptions and examples (e.g., 'goal: The user's objective'), compensating for 0% schema coverage. However, no additional constraints or format 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 uses a specific verb 'Architects' and identifies the resource as a 'custom context system', with return output specified. It distinguishes from sibling tools that retrieve specific components.

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

Usage Guidelines4/5

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

Explicitly states when to use: 'when the user wants to build a persistent agent or complex workflow rather than solving a single immediate task', but does not list alternatives.

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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