Suggest Topic Key

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It explains the tool's purpose and relationship to memorix_store, and provides examples of return values. However, it doesn't disclose potential limitations, error conditions, or performance characteristics that would be helpful for an agent. The description adds value but doesn't provide comprehensive behavioral context.

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 perfectly concise with two sentences that each earn their place. The first sentence states the purpose and usage context, while the second provides concrete return value examples. There's zero wasted text and the information is front-loaded appropriately.

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 moderate complexity (generating stable keys for memory management), no annotations, and no output schema, the description does a good job explaining the tool's purpose and usage context. However, it could provide more detail about the algorithm used to generate keys or potential edge cases. The examples help but don't fully compensate for the lack of output schema.

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 description coverage is 100%, so the schema already documents both parameters. The description doesn't add specific parameter details beyond what the schema provides, but it does explain how the parameters work together ('Observation title — used to generate the stable key' implies the title parameter influences the generated key). Since there are only 2 parameters with full schema coverage, a baseline of 4 is appropriate.

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's purpose with specific verbs ('suggest a stable topic_key for memory upserts') and resource ('topic_key'). It explicitly distinguishes from sibling memorix_store by explaining when to use this tool instead ('before memorix_store when you want evolving topics... to update a single observation over time instead of creating duplicates').

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 explicit guidance on when to use this tool ('before memorix_store when you want evolving topics... to update a single observation over time instead of creating duplicates') and distinguishes it from the sibling memorix_store tool. It clearly explains the alternative approach (using memorix_store directly would create duplicates).

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