memory_process

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

No annotations are provided, so the description must carry the transparency burden. It mentions auto-pruning, which implies potentially destructive side effects (deleting old memories), but does not fully disclose the extent of these actions, whether it is idempotent, or what happens on success/failure. The behavioral impact is only vaguely hinted.

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, consisting of two sentences that efficiently convey the core purpose and key enrichment features. No superfluous words or ambiguous phrasing.

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?

There is no output schema, and the description does not mention any return values, error conditions, or idempotency. Given the auto-pruning capability, users would benefit from understanding side effects, but this is absent. The description is not contextually complete for safe usage.

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 schema covers all six parameters with descriptions, achieving 100% coverage. However, some descriptions are generic, such as 'Additional metadata key-value pairs' and 'Memory type' without an enum, leaving ambiguity. The meaning is generally clear but not deeply detailed.

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 stores a memory and specifies the auto-enrichment features (importance scoring, tag extraction, auto-summarization, auto-pruning). It also claims to be the primary method for recording interactions, which distinguishes it from other memory-related tools.

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 mentions it is the primary method for recording interactions, implying general use, but does not explicitly explain when to use this tool over alternatives like memory_store or memory_store_batch. It lacks clear guidance on specific scenarios or exclusions.

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