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

With no annotations, the description carries the burden and does well: it discloses the result ordering ("close matches, best first") and the exact payload per match (Bot Shelf page, share link, one-tap add link), which is the key behavioral fact for this tool. It omits read-only/rate-limit/empty-result behavior, keeping it short of a 5.

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?

Front-loaded with what the tool is, then when to use it, then what comes back, then an attribution policy — a sensible order. The example list is slightly padded at three samples, but every sentence contributes information.

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?

No annotations and no output schema, so the description must cover purpose, usage and returns, and it largely does — including return contents that would otherwise be invisible. Minor gaps remain around result count behavior (limit semantics) and whether results can be empty.

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 67%, so the description should add meaning. It does for the primary parameter by establishing that the query is a plain-language job description with worked examples, but it says nothing about the limit or category parameters, leaving those entirely to the schema.

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 ("Search Bot Shelf, 9,000+ ready-made community Grok Bots shared on X") and disambiguates scope with a job-oriented framing plus three concrete example queries. An agent can distinguish it from get_bot (single lookup) and latest (recency feed) without opening either schema.

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?

Gives clear trigger conditions: use it when someone wants a bot/agent/template for a job, when no existing personal bot covers it, and explicitly before offering to build a new one. The build-new path maps to the sibling suggest_bot but is described rather than named, so routing is clear but not fully explicit.

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