testneo_figma_image_to_tests_workflow

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

With no annotations, the description must disclose behavioral traits. It outlines the main steps (upload, wait, create context, generate, preview) and mentions the backend endpoint and method (POST multipart). It also notes the guard requiring write permission and confirmation. However, it does not describe error handling, latency expectations, idempotency behavior, or what happens to existing contexts. The description adds value but leaves significant gaps in transparency.

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

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

The description is moderately concise at three sentences. It front-loads the core purpose and flow, but includes extraneous details like the specific backend endpoint and multipart field, which may not be necessary for the agent. It could be more streamlined by omitting implementation details and focusing on user-facing guidance.

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

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

Given the tool's complexity (15 parameters, no output schema, no annotations), the description is incomplete. It does not explain return values, error conditions, prerequisites (e.g., valid image format, required fields), or how the preview step works. The agent would lack critical information to assess whether results are successful or handle failures, making the description insufficient for contextual understanding.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema has 15 parameters with 0% description coverage, meaning the JSON schema provides no explanations. The tool description fails to compensate: it does not explain individual parameters like project_id, image_file_base64, context_name, figma_json_id, enrich_context_id, or idempotency_key. Only a high-level flow is provided, leaving the agent to infer parameter meanings from names alone. This is insufficient for correct invocation.

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

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

The description clearly states the tool's function: upload an exported UI image (PNG/JPEG/GIF/WebP) and run a workflow that includes vision ETL, creating unified context, generating tests, and previewing. It distinguishes itself from sibling tools by explicitly saying 'No Figma token', indicating this is for cases where a Figma access token is not available, unlike testneo_figma_to_tests_workflow which likely uses a token.

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

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

The description implies usage context by stating 'No Figma token', guiding users to choose this tool when they don't have a Figma token. However, it does not explicitly list alternatives (e.g., testneo_figma_to_tests_workflow) or provide when-not-to-use guidance. The mention of 'Guarded: TESTNEO_MCP_ALLOW_WRITE + confirm=true' hints at required precautions but lacks formal exclusion conditions.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.