save_to_memory

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

With no annotations provided, the description bears full burden for behavioral disclosure. It only states the basic operation and return values, omitting key traits such as whether existing entries are overwritten, idempotency, failure scenarios, or authentication needs.

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 concise with a clear Args/Returns structure, listing all parameters compactly. It avoids verbosity, though the return section could provide more detail on the 'entry' object.

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 0% schema coverage and missing annotations, the description provides a basic understanding but lacks completeness. It covers parameter roles but does not explain behavior like duplicate handling or the structure of the returned 'entry', which would benefit an agent given the sparse context.

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 Args section adds descriptions for parameters beyond the minimal schema, but note: the description marks 'caller_agent_id' as required (must), while the schema defines it as optional with a default null. This contradiction reduces reliability and adds confusion.

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 tool saves knowledge to memory, specifying parameters for key, content, tags, and caller_agent_id. It distinguishes from siblings like retrieve_from_memory and save_to_global_memory by name, but the description itself does not explicitly differentiate between local and global memory, missing a clear sibling differentiation.

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 (e.g., save_to_global_memory or retrieve_from_memory). There is no mention of prerequisites or context, leaving the agent without direction for tool selection.

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