Create Memory Keyspace

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

Annotations provide only generic false hints, so the description carries the behavioral burden. It discloses authorization delegation, the engine as final authorization boundary, the store-creation side effect for superowners, default storage behavior, and that supplying semantic_model implies semantic=True. It does not cover the effects of cache or compression, but the description adds substantial behavioral context beyond the structured fields.

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 first sentence delivers the core purpose, and the governance/provisioning context is relevant rather than filler. The Args block is compact and useful. It is longer than strictly necessary but every section earns its place; no wasted wording.

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 provisioning tool with no output schema and only generic annotations, the description covers the important preconditions, authorization paths, defaults, and side effects. The main gaps are the undocumented cache and compression parameters and lack of explicit failure/return behavior, but the description is still strong enough for an agent to call the tool correctly in most cases.

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?

Given 0% schema description coverage, the description must compensate. It does explain keyspace, storage, semantic, semantic_model, and persistent, including meaningful inference like semantic_model implying semantic=True. However, it is completely silent on the 'cache' and 'compression' parameters, leaving two of seven parameters underdocumented.

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 action and resource: 'Create a new memory namespace' / keyspace. It clearly distinguishes this provisioning tool from sibling tools like list_keyspaces, remove_keyspace, and enable_semantic by establishing it as the creation entry point.

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 concrete conditions for use: a delegated owner can create a keyspace only when governance grants 'provision-keyspace' and the store already exists, while superowner credentials can create the store and first keyspace together. This is clear context, though it doesn't explicitly compare against sibling tools or state when not to use it beyond the store precondition.

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