noetic.fetch

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

With no annotations provided, the description carries the behavioral disclosure burden. It reveals access requirements ('owner, or a grant carrying read'), the case-insensitive substring behavior, the limit option, and the metering cost ('Metered as one query'). This is substantial context beyond a bare verb, though it does not describe output shape or failure modes.

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 entire description is one dense sentence with no wasted words. The core action and target resource are front-loaded, and all additional clauses add meaningful detail: access control, case-insensitivity, limit, and metering.

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?

The description covers several important contextual aspects: authorization, read semantics, query behavior, and cost. Still, with no output schema, it omits what the response contains, and it leaves sessionId unspecified. It is sufficient for a simple fetch but not fully complete for confident invocation.

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?

The input schema has 0% description coverage, so the description must compensate. It does add semantics for query (case-insensitive substring) and limit, and 'space's stored objects' implies the space parameter. However, sessionId is never explained, and no parameter constraints or default behaviors are given.

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 identifies a specific action (read), a resource (a space's stored objects), and qualifying details (owner or grant carrying read, optional case-insensitive substring query, limit). It is not a tautology and gives enough to distinguish it from siblings like noetic.query or noetic.observe, though it does not explicitly name an alternative.

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 implies when to use it (to read raw stored object content) and even notes the authorization requirement and metering cost. However, it provides no explicit guidance about when not to use it or which sibling tool to prefer, especially given nearby tools like noetic.query and noetic.observe.

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