get_view_conversations

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

With no annotations, the description carries the burden and does meaningful work: it discloses that the view's saved filters are applied to the result set and that the `conversations:read` permission is required. The GET endpoint path also confirms the read-only nature. It omits anything about result ordering defaults or pagination behavior, but the schema covers those parameters.

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?

Front-loaded and brief: the key sentence about applying saved filters comes early. The redundant repetition of the title as the first line plus the trailing endpoint and tag lines are mild waste but do not obscure the core message.

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?

For a five-parameter read tool with a fully described schema and no output schema, the essentials are present: what it returns conceptually (conversations of a view), the filter semantics, and the auth requirement. A small gap is that it doesn't warn about empty results or how the view's filters interact with the order_by parameter.

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 100%, so all five parameters (id, page, order, order_by, page_size) are already documented in the schema with defaults, bounds, and enums. The description adds nothing beyond indicating the `id` refers to a view. Baseline 3 is appropriate.

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?

States a specific verb and resource with scope: 'Get conversations for a specific view,' which implicitly separates it from the unfiltered siblings like get_all_conversations. It never names an alternative or clarifies the boundary with search_conversations or paginated_search_conversations, so it lands just short of full sibling differentiation.

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?

Usage is only implied: an agent can infer this is the tool for reading conversations in a saved view. There is no explicit when-to-use versus when-to-use-something-else guidance, and no stated prerequisites beyond the required permission string.

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