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get_specs

Retrieve a list of all saved design specs with name, type, and purpose. Use to check for existing specs before creating a new one or generating code.

Instructions

List all saved specs (cheap summary operation).

Returns: [{ name, type: "component"|"page"|"dataviz"|"design"|"ia", purpose? }]; [] when none exist. Use before create_spec (overwrite check) or generate_code; fetch a full body with get_spec.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior5/5

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

Describes the operation as cheap (implying low cost/fast), specifies return format (list of objects with fields), and notes empty array when none exist. No annotations provided, so description fully covers behavioral traits.

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?

Extremely concise: one line for purpose and a tip, followed by return format. Every sentence adds value, with no redundancy.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a parameterless tool with no output schema, the description provides complete context: purpose, usage hints, return format, and empty result behavior.

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?

No parameters exist, so baseline is 4. Description adds value by specifying the return structure and usage context, but schema coverage is 100% with no 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 clearly states the tool lists all saved specs and classifies it as a cheap summary operation, distinguishing it from the sibling get_spec tool that retrieves full bodies.

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

Usage Guidelines5/5

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

Explicitly specifies when to use this tool: before create_spec (for overwrite check) or generate_code. Implicitly advises against it when full body is needed, directing to get_spec.

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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