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

With no annotations, the description carries the full burden and does so well: it discloses that this is a request that awaits human staff approval, that no payment happens automatically, and that missing time information must be solicited rather than invented. It does not explain the preview/previewHash round-trip or the consent flag, which are the remaining behavioral gaps.

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 most important constraint (time fields required, do not guess) is front-loaded, and the semicolon-separated clauses keep the flow readable in a compact span. It is dense with no filler, though the single run-on structure could be broken to separate the precondition from the submission step.

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 10-parameter, annotation-free mutation tool with no output schema, the description covers the critical workflow (approval gate, no auto-payment, preview-first) but leaves the preview/previewHash mechanism and several fields unexplained. An agent could invoke it, but the preview-confirm-submit contract is only partially spelled out.

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% across 10 parameters, so the description must compensate. It does explain startsAt/endsAt (mandatory, must be user-confirmed) and hints at venue, headcount, and message ('确认具体场地/时段/人数/需求'), plus the preview concept, but it never explains previewHash, consent, or spaceName — leaving several parameters undocumented in both schema and prose.

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 concrete action (submit a venue-booking application: '提交申请') on a specific resource (本组织场地), and embeds it in a recognizable flow (check availability/preview, then submit). It stops short of naming the sibling tools it depends on (e.g., get_ecosystem_venue_availability, manage_ecosystem_venue_bookings), so differentiation is implied rather than explicit.

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 gives real sequencing and even an exclusion: start/end times are mandatory, must be confirmed with the user, and guessing a time slot is forbidden. It also tells the agent to read venue/occupancy and preview before submitting, and to wait for staff confirmation rather than paying. It does not explicitly point at the availability sibling by name, which keeps it from a 5.

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