add_observations

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

With no annotations provided, the description must disclose behavioral traits. It mentions indexing for search, which is helpful, but fails to disclose side effects such as whether observations are additive or overwriting, what happens if the entity does not exist, or any error conditions. The behavior beyond addition is unclear.

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 sentence of 15 words, efficiently conveying the core action and a key feature (indexing). Every word serves a purpose, and no redundant or irrelevant information is present.

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 simple tool with one parameter and no output schema or annotations, the description provides sufficient context for basic use but lacks details on error handling, idempotency, or return behavior. It is minimally viable but not fully comprehensive.

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 has 100% description coverage, so the schema already documents the parameters well. The description does not add extra meaning beyond the schema; it merely describes the tool's function. Baseline 3 is appropriate as no additional semantics are provided.

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 verb 'add' and the resource 'text observations to existing entities', and adds context about indexing for search. It distinguishes from sibling tools like delete_observations and create_entities, though it could be more explicit about the 'existing entities' requirement.

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 implies the tool should be used when adding text observations to entities that already exist, but it does not explicitly state when to use it versus alternatives, nor does it provide conditions or exclusions. There is no guidance on prerequisites or when not to use.

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