Save research into DevVault

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

With no annotations provided, the description bears full responsibility and excels: it discloses server-side constraint enforcement, automatic repair behavior (paragraph splitting, spillover, flattening), and that the response reports what was adjusted and should be relayed. It also exposes the idempotent update behavior tied to external_key. This goes well beyond a generic save description.

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 dense but every sentence earns its place: purpose, structural guidance, repair behavior, idempotency, and agent_rules are all front-loaded with no filler. The only minor nit is its long em-dash sentence, but the information density justifies it.

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?

For a complex, 5-parameter tool with no output schema, the description covers the important behaviors agents need: how to structure containers, what constraints will be auto-repaired, what to report back, and how to make updates idempotent. Nothing critical for a correct call is missing.

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?

Even though the schema already documents every parameter, the description adds valuable guidance beyond it: always set external_key, prefer grouping by topic with nested children, use agent_rules to save future reading, and make collection_description match against future task descriptions. This materially improves how an agent would populate the parameters.

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 opens with a specific action—file the current conversation's findings into the vault as structured containers—and elaborates a clear structure model: topic-based containers with nested sub-topics. This clearly distinguishes the save/import operation from retrieval-oriented siblings like devvault_search and devvault_get_container.

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?

It states the context: after research has happened, when findings should be persisted for future reuse, and advises on agent_rules and external_key to avoid duplicate/re-derived work. It does not explicitly name when to avoid this tool or point to an alternative, so it misses the top tier.

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