glyphdna_meet_close

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It does well by revealing non-obvious side effects: it signs a closing statement, mints a receipt on .pro, and tears down transport. It stops short of explaining permissions, reversibility, or failure modes, but the core destructive and conditional behavior is transparent.

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 description is compact and information-dense. It front-loads the main action ('Close a meeting room'), then packs the important behavioral steps and arguments into one sentence with no filler or redundant phrasing.

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 multi-step side-effectful tool with no annotations and no output schema, the description does not cover return values, error conditions, or prerequisites beyond 'when all attendees have closed.' The core action is clear, but the missing argument details and behavioral edge cases leave meaningful gaps for an agent.

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 is empty, so the description's explicit 'Args: member_file, room_id' is the only parameter documentation and does add meaning beyond the schema. However, it only lists names without types, formats, requiredness, or purpose, so an agent still has to guess at what member_file should contain and how room_id should be formatted.

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 opens with a specific verb and resource: 'Close a meeting room,' and then explains exactly what that entails: signing the closing statement, minting a co-signed meeting.v1 receipt when all attendees have closed, and tearing down transport. This clearly differentiates it from siblings like glyphdna_meet_open or glyphdna_meet_say.

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 usage context is clear: use this tool to close a meeting room. The description also communicates a precondition ('when all attendees have closed') but does not explicitly name alternatives or state when not to use it. It provides clear context without exclusions, so it earns a 4 rather than a 5.

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