assign_governor

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

No annotations provided, so description carries full burden. Discloses precondition (governor must be appointed) and behavioral trait (takes several turns). Could also mention side effects or error conditions.

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?

Three concise sentences plus parameter list. All information is front-loaded and no unnecessary text. Every sentence adds value.

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?

Given 2 parameters and no enums, the description covers preconditions and latency. An output schema exists (not shown) so return format is handled elsewhere. Could briefly mention error cases or success indicators.

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 coverage is 0% (no descriptions in input schema). Description adds meaning by specifying sources: 'governor_type (from get_governors output)' and 'city_id (from get_cities output).' This helps the agent select correct values.

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 'Assign an appointed governor to a city,' using a specific verb and resource. It distinguishes from siblings like 'appoint_governor' and 'promote_governor' by implication but does not explicitly differentiate.

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?

Provides clear context: 'Governor must already be appointed' and 'Takes several turns to establish.' This guides the agent on when to use (after appointment) and what to expect (latency), though no explicit alternatives or exclusions are given.

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