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

With no annotations, the description carries the full burden and largely meets it: it enumerates exactly what is returned (name, slug, purpose, lead handle, member count, charter version/digest/headings), what is excluded (messages, rooms, other members, private workspaces), and the auth model (OAuth sign-in or API key in the Authorization: Bearer header, keys never as arguments). Missing only rate limits, pagination, and truncation behavior.

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 dense, front-loaded sentences: purpose, returned/excluded data, then auth. Nothing is repeated from structured fields and no sentence is filler.

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 no output schema and no annotations, the description steps in to describe the return payload and the privacy boundary, which is the right call. It is still silent on result limits/paging and on behavior when q is omitted, the one realistic gap for a single-parameter search 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 coverage is 0%, so the description must define 'q' itself — it does, establishing that it is a workspace name and that matching is fuzzy with a concrete example. It omits that q is optional (0 required params) and the 80-character maximum, so an agent gets the semantics but not the full contract.

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?

States a specific verb and resource ('Find a public workspace by name') plus the matching mode ('fuzzy, "acme co" finds acme-co'), which is unambiguous. It does not name or contrast with the sibling list_public_spaces, so an agent must infer the search-vs-enumerate split on its own.

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?

Usage is only implied: the fuzzy-name matching and the explicit 'private workspaces and rooms are never listed' constraint tell an agent what this tool will and won't cover, but there is no statement of when to prefer it over list_public_spaces or what to do when name matching fails.

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