predict_next

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

No annotations provided, so description carries full burden. It discloses the Markov chain method and prerequisite but does not describe output format, side effects, or error states. Adequate but not detailed.

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?

Three short sentences are concise and front-loaded. First sentence states purpose, second explains method, third gives prerequisite. Efficient yet slightly flat in structure.

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?

With an output schema present, the description adequately covers purpose, method, and prerequisite. Missing output description is compensated by schema. Suitable for a prediction tool.

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 covers 100% of parameters with descriptions, so baseline is 3. The description adds no extra meaning beyond schema; it only mentions an environment variable, which is not a parameter.

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?

Description clearly states the tool predicts next memories based on access patterns using a Markov chain. Verb 'predict' and resource 'memories' are specific, and the function is distinct from siblings like `predictive_cache_status`.

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?

Description mentions required environment variable `MEMORY_MCP_PREDICTIVE_CACHE_ENABLED=true` but provides no explicit when-to-use or when-not-to-use guidance, nor alternatives. Usage is implied but not fully clarified.

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