set_conversation_options

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

The description only says 'Adjust', implying a mutation, but provides no additional behavioral context. It does not disclose whether the adjustment affects ongoing conversations, when changes take effect, whether any special permissions are needed, or what the tool returns. With no annotations to fall back on, the description carries the full burden, and this is insufficient.

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, compact sentence with no fluff or repetition. It is front-loaded with the verb and the key resource. While it could be more informative, conciseness is about efficiency, and this description achieves that perfectly.

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 mutation tool with no annotations and no output schema, this description is notably incomplete. It does not mention side effects, return values, or how it relates to other conversation-management tools. The agent would need to infer behavior from the schema alone, which is not enough for a tool that modifies state.

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?

The input schema already covers 100% of the parameters, including descriptions for 'budget_limit' (per-conversation budget limit in USD) and 'context_limit' (messages to keep in context window). The description adds a high-level grouping ('budget/context options') but does not provide additional semantics beyond the schema. Thus a baseline score of 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?

The description clearly states the action ('Adjust') and the target ('conversation budget/context options'), which gives a clear sense of the resource. However, it does not explicitly distinguish from the sibling tool 'set_cost_limits', which likely also deals with budget settings. The presence of 'conversation_id' in the schema hints at per-conversation scope, but the description alone does not make that distinction.

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?

No guidance is provided on when to use this tool versus alternatives. With siblings like 'set_cost_limits' and 'get_conversation_metadata', the agent would benefit from knowing that this tool is for adjusting per-conversation budget/context settings, while 'set_cost_limits' is probably for global cost limits. The description gives no such differentiation or prerequisite information.

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