Subscribe to a conference

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

Annotations are minimal (no destructiveHint, idempotentHint, etc.), so the description adds valuable behavioral context: it explains that new papers indexed after this call appear in get_subscription_updates. This discloses the downstream effect beyond simple parameter entry.

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 extremely concise: two sentences with no filler. The first sentence states the purpose and usage triggers; the second adds behavioral detail. Every sentence earns its place, and content is front-loaded.

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?

Given the tool has 4 parameters and an output schema, the description is sufficient. It covers the core behavior, result linkage to get_subscription_updates, and resolution hint for conference. It does not detail every parameter but the schema and output schema fill remaining gaps. Slightly above average completeness.

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 description coverage is 50% (email and conference have descriptions, notify_email and notify_in_app have defaults but no schema description). The description adds meaning for the conference parameter (resolution method) but does not elaborate on email or the notification booleans. It partially compensates for the coverage gap, but not fully.

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 explicitly states the tool's purpose: "Use this when the user asks to follow / track / watch / subscribe to a conference." It clearly identifies the verb (subscribe) and resource (conference), and distinguishes it from sibling tools like unsubscribe_conference and get_subscription_updates.

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 provides clear context for when to use (user actions like follow/track/watch/subscribe) and mentions that conference resolution works like search_papers, avoiding unnecessary lookup. However, it does not explicitly state when not to use or name alternative tools, though the context is strong enough for an AI agent.

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