Update Observation Item

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

Annotations provide basic write/destructive hints. The description adds that it performs a partial update (only supplied fields changed) and returns the modified object, which is useful context. No contradictions with annotations.

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 three succinct sentences: purpose, partial update behavior, required parameters, and API reference. No wasted words, and the most critical information is front-loaded.

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 (4 params, no output schema), the description covers the essentials but lacks details on response format, error handling, or authentication. It is adequate but not 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?

Schema coverage is 100% with descriptions for each parameter. The description reiterates required parameters and partial update behavior but does not add meaning beyond the schema, meeting the baseline for high coverage.

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 (update) and resource (Observation Item), and specifies it updates existing observations. However, it does not explicitly distinguish itself from sibling tools like create_observation_item or delete_observation_item, though the name and context imply the 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?

The description indicates to use this tool for updating existing observations and mentions that only supplied fields are changed. However, it does not provide when not to use it or alternative tools for creation/deletion, leaving usage guidance implicit.

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