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Schedule a webhook

schedule_webhook

Schedule an HTTP POST of a JSON payload to a public URL: once, after delay_seconds or at the Unix time fire_at, 5 seconds to 24 hours ahead, or repeatedly every 60 to 86400 seconds until 24 hours after creation. The URL must resolve to a public address on port 80 or 443. The answer has schedule_id, which reads and cancels the job and should be kept private. No API key, no account and no sign up: call it directly.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYes
everyNo
fire_atNo
payloadNoAny JSON, at most 32 KB. Defaults to {}.
delay_secondsNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already declare it a non-idempotent, non-destructive, open-world write. The description adds meaningful context beyond them: the URL must resolve to a public address on port 80/443, schedule_id must be kept private (security handling), and no API key or account is required (auth needs). It stops short of disclosing failure/retry behavior, so not a full 5.

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 dense sentences, front-loaded with purpose and constraints, and the auth note last. Every clause carries useful information, though the run-on opening packs several constraints together.

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?

With no output schema, the description supplies the return value ('The answer has schedule_id'), plus timing, URL and auth constraints. Given annotations cover safety, an agent has nearly everything needed to call it correctly, with only error/failure semantics left implicit.

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 only 20% (payload alone), so the description must carry the load, and it does: it explains delay_seconds vs fire_at (relative vs Unix time, 5s-24h), every (60-86400s repeat), and the URL's public-address/port requirement. Adds substantial meaning beyond the bare schema.

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 states a precise verb and resource ('Schedule an HTTP POST of a JSON payload to a public URL') and specifies the once/repeated model, distinguishing it clearly from siblings like create_webhook_capture, read_webhook_schedule and cancel_webhook_schedule.

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

Usage Guidelines4/5

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

It gives clear usage context: fire once after delay_seconds or at fire_at, or repeatedly every 60-86400 seconds, with explicit timing bounds (5s to 24h ahead). It does not name alternatives such as read_webhook_schedule or cancel_webhook_schedule, though it alludes to them via schedule_id, so no explicit exclusions.

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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