testneo_ingest_figma_context

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

With no annotations, the description bears full responsibility for behavioral transparency. It mentions ETL ingestion and optional waiting, but omits details about destructive potential, authentication requirements, error handling, or the linked context creation process.

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 a single concise sentence that efficiently conveys the tool's purpose and key steps. However, a slightly more structured format (e.g., listing parameters or steps) could improve clarity without sacrificing conciseness.

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 (8 parameters, no output schema, no annotations), the description is insufficient. It fails to explain required vs. optional parameters, the ETL process, or the outcome of creating 'linked unified context', leaving significant gaps for an AI agent.

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 8 parameters with 0% description coverage, yet the description provides no parameter-specific information. It fails to clarify what each parameter means or how they interact, such as the role of figma_token, figma_file_id, or wait_for_ingest.

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 ingests Figma metadata via ETL, optionally waits for completion, and creates a linked unified context for test generation. It distinguishes from siblings like testneo_figma_to_tests_workflow by focusing on metadata ingestion and context creation.

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 when needing to create a unified context from Figma metadata, but provides no explicit when-to-use or when-not-to-use guidance, nor does it mention alternatives among the many Figma-related sibling tools.

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