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Get Design Candidates

get-design-candidates
Read-only

Internal tool for widget UI polling.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
job_idYesThe job ID returned from generate-design
user_intentNoMandatory description of what the user is trying to accomplish with this tool call. This should always be provided by LLM clients. Please keep it concise (255 characters or less recommended).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.2/5.0
Behavior2/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, so the description does not need to restate safety. It adds only the vague notion of 'widget UI polling' without explaining polling semantics, repeated-call expectations, status behavior, or what the response represents.

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

Conciseness2/5

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

The description is short but under-specified, not concise in a useful way. 'Internal tool' is filler, and the single sentence does not convey enough information to justify its brevity.

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?

With no output schema, the description needed to explain what design candidates are, how they relate to generate-design, and what the tool returns. It does none of this, leaving the agent to guess the tool's purpose and expected response.

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 description coverage is 100%, so the schema already documents job_id and user_intent. The description adds no parameter-specific meaning, but the baseline of 3 is appropriate because the schema carries the burden.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose2/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description, 'Internal tool for widget UI polling,' is vague and does not state that the tool retrieves design candidates. It offers no specific verb plus resource, and it fails to differentiate itself from sibling tools like generate-design or create-design-from-candidate.

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

Usage Guidelines2/5

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

There is no guidance on when to use this tool versus alternatives. It does not mention that it should be used after generate-design or before create-design-from-candidate, and it lacks any exclusions or alternative routing.

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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