chat_with_workspace

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It reveals a key behavioral trait: the tool maintains real multi-turn history rather than treating each call as independent. This is meaningful context that goes beyond a simple 'chat' label, though it does not mention side effects around history persistence or workspace creation.

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 well-structured sentence that front-loads the core action, then adds the key differentiator and a practical use case. Every clause earns its place; there is no redundant or filler content.

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 relatively simple two-parameter tool with no output schema, the description is largely complete: it states what the tool does, what the user gets back ('a reply'), and when it is useful. The remaining gaps, such as explicit mention of history persistence or workspace auto-creation behavior, are partly covered by the schema and are not critical for basic invocation.

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 50%, with only the 'workspace' parameter described in the schema (name not id, auto-created, defaults to 'default'). The description adds general meaning to 'message' by framing it as the user's input to the ongoing chat, but it does not add detail beyond the schema for 'workspace'. The schema and description together are adequate but not rich.

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 states a clear verb ('Send a message'), a specific resource ('a workspace's ongoing chat'), and the expected result ('get a reply'). It further distinguishes itself from a one-shot completion by explicitly highlighting real multi-turn history, which helps an agent understand what makes this tool unique among the sibling tools.

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 gives clear context for when this tool is useful: 'asking questions about accumulated findings without re-explaining context every time.' It implies a multi-turn conversational use case, though it does not explicitly name alternative tools or state when not to use it.

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