Assistant conversation

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

The annotations already establish that this is a read-only, idempotent, non-destructive, non-open-world operation. The description adds useful behavioral context by explaining that results include mentioned keywords and proposed changes with their statuses, though it does not describe empty-thread behavior or ordering guarantees.

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 definition is a single front-loaded sentence that conveys the resource, scope, and return contents without filler. Every clause adds useful information.

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 simple read-only retrieval tool with full schema coverage and clear annotations, the description is complete enough. It explains the returned conversation content and change statuses, which compensates for the absence of an output schema.

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 parameter meaning is primarily carried by the schema. The description reinforces the meaning of scope as keywords or optimizer scope and ties results to a project, but it does not add further detail about lastMessages or the meaning of individual statuses.

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 that this retrieves recent messages from the ASO assistant conversation for a project, with keywords or optimizer scope. It is specific about the resource and contents, but it does not explicitly distinguish itself from related assistants such as ask_assistant, apply_assistant_changes, or dismiss_assistant_changes.

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 implied use case is inspecting the current assistant conversation and the status of proposed changes. However, there is no explicit guidance about when to call this versus ask_assistant, apply_assistant_changes, dismiss_assistant_changes, or clear_assistant.

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