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get_spec

Fetches the full JSON of a design spec by name, returning ComponentSpec, PageSpec, or DataVizSpec with detailed fields like atomic level, props, variants, WCAG, sections, chart type, and data shape.

Instructions

Fetch the full body of one spec by name.

Returns: full spec JSON — ComponentSpec: atomicLevel, props, variants, composesSpecs, codeConnect, WCAG fields; PageSpec: sections, meta; DataVizSpec: chartType, dataShape. Errors: isError if the name is not found (list names via get_specs).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesName of the spec to retrieve (case-sensitive, matches the spec's 'name' field, not the filename). Use get_specs first to list available names.
Behavior4/5

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

Without annotations, the description carries full burden. It discloses return structure (full spec JSON) and error behavior. Adequate for a simple fetch operation; no side effects or auth mentioned but not necessary here.

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?

Three sentences, front-loaded with purpose, then return structure, then error handling. No wasted words.

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 tool with one parameter and no output schema, the description covers purpose, return type, error handling, and relationship to a sibling. Nothing missing given complexity.

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 100% and the description repeats the schema's parameter description verbatim, adding no new meaning beyond what the schema already provides. Baseline 3 applies.

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?

Explicitly states 'Fetch the full body of one spec by name' – a specific verb and resource. Distinguishes from sibling 'get_specs' (which lists names) and other tools.

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?

Mentions error condition (isError if name not found) and directs to use get_specs first to list names. Provides case-sensitivity detail. Lacks explicit when-not-to-use beyond the name-unknown case.

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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