pinterest_pipeline

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

With no annotations, the description must disclosure behavioral traits. It mentions that ChromaDB will download an embedding model on first run with ingest=True. However, it does not disclose other potential side effects like API rate limits, cost, or data persistence details.

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 concise and well-structured: a single line for the purpose, a note about model download, then a bullet-like list of arguments. 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.

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

The tool has 5 parameters (1 required) and an output schema (not shown). The description covers the pipeline steps and parameters adequately. It could mention error conditions or prerequisites (e.g., API key), but overall it is fairly complete.

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?

Schema description coverage is 0%, so the description provides necessary parameter explanations. It describes each parameter's purpose (e.g., 'search query', 'max pins to search') and mentions defaults, adding significant value beyond the schema.

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 it is a 'full visual intelligence pipeline' consisting of search, download, analyze, and store steps. This distinguishes it from sibling tools like pinterest_search, pinterest_download, pinterest_analyze, and pinterest_ingest, which are individual steps.

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 explains the tool's purpose and provides parameter details. It notes a side effect (model download on first run with ingest=True). However, it does not explicitly state when to use this tool versus alternatives or provide exclusions.

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