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schedule

Webhook Scheduler: schedule a future HTTP callback. At fireAt, we call your url with the payload. Agents' alarm clock for async work. Send { token, url, fireAt (ISO-8601), payload?, method? }. [x402 paid tool — price $0.003; POST /api/schedule]

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYesPublic http(s) callback URL
tokenYesYour secret token (gates status reads)
fireAtYesISO-8601 time to fire (max 30 days out)
methodNoPOST (default) or GET
payloadNoJSON body to POST (16KB max)

TDQS

B3.3/5.0
Behavior3/5

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

With no annotations, the description bears the full burden. It explains the core behavior (fireAt triggers callback to url with payload), mentions token for authentication, and notes the 30-day max. However, it omits details on retry behavior, error handling, and what happens on failure.

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?

The description is three sentences and front-loaded with purpose. It is reasonably concise, though the inline notation '[x402 paid tool — price $0.003; POST /api/schedule]' is somewhat dense but still efficient.

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

Completeness2/5

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

The description fails to disclose what the tool returns (e.g., a schedule ID or status). For a tool that creates a resource, this is a significant gap. No output schema is provided, and the description does not cover return format or error scenarios, making it incomplete for an agent.

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

Parameters3/5

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

Schema coverage is 100%, so the schema already documents all five parameters. The description adds minimal value beyond the schema, only reiterating the parameter list and noting ISO-8601 format for fireAt. Pricing and endpoint info are extra but not parameter-specific.

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

Purpose5/5

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

The description clearly states it is a 'Webhook Scheduler' for scheduling future HTTP callbacks, with a specific verb 'schedule' and resource 'future HTTP callback'. It contrasts nicely with siblings like schedule_cron and schedule_status by focusing on one-time callback scheduling.

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

Usage Guidelines2/5

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

No guidance is given on when to use this tool versus alternatives such as schedule_cron. There are no when-to-use, when-not-to-use, or exclusion criteria mentioned, leaving the agent to infer usage 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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TDQS

A3.5/5.0
Disambiguation4/5

Tools are organized by domain prefix (e.g., 'crypto_', 'rh_', 'snipe_'), which helps distinguish between areas. Within each domain, they serve distinct purposes, though some overlap between domains exists (e.g., price data appears in multiple groups). Overall, an agent can navigate effectively.

Naming Consistency5/5

All tool names follow a consistent snake_case pattern with a domain prefix and a verb_noun combination (e.g., 'compliance_risk', 'rh_stock', 'snipe_honeypot'). This makes the API predictable and easy to explore.

Tool Count2/5

With 159 tools, the server is extremely large. While the broad scope of web3 and utility functions justifies many tools, the count is significantly above the typical range for a coherent toolkit, potentially overwhelming agents and increasing selection error.

Completeness4/5

The toolkit covers a wide range of web3 operations: crypto, DeFi, compliance, safety, scheduling, memory, etc. There are no obvious major gaps for its intended purpose, though some niche areas might be missing.