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Register interest in a Hlido slug to receive notifications when its verdict changes via RSS, JSON, or webhook.

Instructions

Preview — Wave 3 will add persistent webhook + RSS subscriptions. For now this returns the agent's current state plus advisory polling instructions (RSS at /changelog/feed.xml or polling /data/attestations/{slug}.json). Use this to register interest in being notified when a slug's verdict changes.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
slugYesThe Hlido slug to subscribe to (e.g. 'cursor', 'aider')
channelNoPreferred notification channel. webhook is advisory only until Wave 3 ships.
Behavior2/5

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

No annotations provided, so description must fully disclose behavior. It mentions the return value (current state + polling instructions) but omits side effects, idempotency, or limits (e.g., multiple subscriptions per slug). This is incomplete for a tool that implies mutability.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Three sentences, front-loaded with key caveat (Preview/Wave 3). No wasted words, but the forward-looking mention slightly reduces immediate clarity. Overall efficient.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple two-parameter tool with no output schema, the description covers purpose, usage, return value, and parameter nuances. It provides enough context for correct invocation, though behavioral transparency is the weak link.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, but the description adds value: clarifies 'slug' as a Hlido slug and explains the enum values (webhook advisory). This enriches understanding beyond the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly identifies the tool's purpose: registering interest for notification when a slug's verdict changes. It distinguishes from siblings (no other subscription tools), but the 'Preview' framing adds minor confusion.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description states when to use it ('to register interest...'), but does not explicitly mention when not to use or give alternatives. The advisory note on webhook channel adds useful context.

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

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