memoryguard_apply_enrichments

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

No annotations are provided, so the description carries the full burden of explaining behavior. It implies a write to the V2 memory plane and gives one useful behavioral cue: the graph is refreshed by a subsequent build_and_enrich call. However, it does not disclose whether the operation is idempotent, reversible, or what happens to pending tasks after application, leaving meaningful ambiguity.

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 two sentences with no filler. The main purpose is front-loaded, the result shape is compressed into one clause, and the workflow instruction is immediately actionable.

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 rich schema and workflow context, the description is usable for invoking the tool: it identifies the data shape and the required follow-up step. However, with no output schema and no annotations, it leaves open important details such as return behavior, failure modes, and the exact effect on pending tasks or memory entries.

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 baseline is 3. The description's field list (task_id, kind, title, body, confidence) mostly mirrors the schema without adding deeper meaning. There is also a minor mismatch: it says each result includes confidence, while the schema marks confidence as optional.

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 states a specific verb and resource: "Apply host-agent enrichment results to the V2 memory plane." It also places the tool within a workflow by naming build_and_enrich as the follow-up step, which helps distinguish it from sibling extraction/acceptance tools. It does not sharply contrast itself against all similar siblings, but the purpose is clear and not tautological.

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 gives explicit usage context: "After YOU enrich pending tasks, call this then memoryguard_build_and_enrich again to refresh the graph." This tells the agent when in the workflow to invoke the tool and what to do next. It does not describe when not to use it or mention alternatives, but the workflow guidance is strong.

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