delete_observations

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

No annotations are provided, so the description carries full burden. It discloses the destructive nature ('삭제합니다' implies mutation/deletion), but lacks critical behavioral details: whether deletions are permanent or reversible, authentication requirements, error handling (e.g., if observations don't exist), or side effects. For a destructive tool with zero annotation coverage, this is a significant gap in transparency.

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, efficient sentence in Korean that directly states the action. It's front-loaded with the core purpose and has no wasted words. However, it could be more structured (e.g., by explicitly listing key parameters) to improve clarity without losing conciseness.

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 the tool's complexity (destructive operation with 1 parameter but nested arrays/objects), lack of annotations, no output schema, and 0% schema coverage, the description is incomplete. It fails to address critical aspects like return values, error conditions, or detailed parameter usage, leaving the agent with insufficient context for safe and effective 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 0%, so the description must compensate. It mentions '엔티티에서' (from entities) and '관찰 내용' (observations), hinting at parameters related to entities and observations, but doesn't explain the structure (e.g., that 'deletions' is an array with 'entityName' and 'observations' fields) or provide examples. This adds minimal value beyond the bare schema.

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 the action ('삭제합니다' - delete) and target ('관찰 내용' - observations) from entities, which provides a basic purpose. However, it's vague about what '관찰 내용' specifically means (e.g., notes, measurements, attributes) and doesn't differentiate from sibling tools like delete_entities or delete_relations, which handle different resource types.

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. It doesn't mention prerequisites (e.g., needing existing observations), exclusions, or comparisons to siblings like delete_entities (which might delete entire entities rather than just observations). The description only states what it does, not when it's appropriate.

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