summarize_and_store

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

With no annotations, the description explains the host LLM usage and storage delegation, but omits side effects, error behavior, or reversibility. The pattern is described but not fully transparent.

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 four sentences, front-loaded with purpose, and efficiently conveys the pattern. Some redundancy exists but it remains clear.

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 no output schema and many siblings, the description lacks details on return values, error handling, and the exact role of the tool in the storage step. It is incomplete for an agent to use confidently.

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%, so the description adds minimal value beyond parameter descriptions. It does not elaborate on max_tokens semantics or namespace usage beyond defaults.

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 it requests summarization and stores a session_summary memory. It explains the 'borrow host LLM' pattern and distinguishes from siblings by specifying no external LLM API key needed.

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 outlines the workflow but does not explicitly state when to use this tool vs. alternatives like classify_and_remember or declare_preference. It implies use for summarization but lacks exclusion criteria.

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