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

The readOnlyHint annotation already fixes the safety profile, and the description adds a genuine access nuance: workspace prompts require is_custom=True plus workspace_id. It says nothing about result ordering, catalog size, pagination, or what happens when a prompt_id is unknown, so the added behavioral context is useful but thin beyond annotations.

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 catalog statement is front-loaded, followed by a compact numbered list that maps one-to-one onto the request enum. There is no filler and every line carries instruction.

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?

Return shape is covered by the output schema, and the description explains how to reach both prompt scopes, which is what an agent needs to call it correctly. The remaining ambiguity is the valid prompt_type values and behavior on missing/invalid prompt_id, which neither the schema nor description resolves.

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 carries the full burden — and it does mention all five parameters in context: request (two modes), prompt_id (body fetch), is_custom and workspace_id (workspace prompts), and prompt_type (optional menu filter). It stops short of stating allowed prompt_type values or type constraints, which is the main gap.

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 first line states a specific verb+resource ('Browse the Pinterest Pages prompt catalog'), and the numbered entries make the two operating modes (menu vs prompt_details) explicit. It doesn't reference the sibling tools (execute_action, query_contexts, query_data), so an agent must infer that this is the discovery tool, but the topic is distinct enough that confusion is unlikely.

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?

Each request value gets a clear usage rule: 'menu' lists public/system prompts with optional workspace_id + prompt_type, and 'prompt_details' fetches a body by prompt_id, with is_custom=True + workspace_id for workspace prompts. That is strong mode-selection guidance, but there are no exclusions or alternatives when this tool should not be used (e.g., versus query_data).

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