add_observations

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 states the tool adds observations, implying a mutation operation, but doesn't cover critical aspects like permissions needed, whether changes are reversible, rate limits, or what happens on success/failure. For a mutation 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 tool's action. It's front-loaded with the core purpose and has no unnecessary words. However, the brevity contributes to underspecification rather than optimal clarity, slightly reducing its effectiveness.

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 (a mutation operation with nested array parameters), lack of annotations, no output schema, and low schema coverage, the description is incomplete. It doesn't address behavioral traits, parameter meanings, or expected outcomes, making it inadequate for safe and effective use by an AI agent.

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 description adds no parameter semantics beyond what the input schema provides. With 0% schema description coverage and 1 parameter (an array of objects with 'entityName' and 'contents'), the description doesn't explain what 'observations' are, how 'entityName' relates to existing entities, or the format/constraints of 'contents'. This leaves key parameter details undocumented.

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 tool's purpose as 'adds observations to existing entities' which is clear in terms of verb ('adds') and resource ('observations to existing entities'). However, it doesn't distinguish this from sibling tools like 'delete_observations' or 'create_entities' beyond the basic action. The description is functional but lacks specificity about what constitutes an observation or how this differs from related operations.

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 provides no guidance on when to use this tool versus alternatives. It doesn't mention prerequisites (e.g., entities must exist), exclusions, or comparisons to sibling tools like 'create_entities' or 'delete_observations'. Without this context, an agent might struggle to choose between this and other tools for managing observations or entities.

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