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Wait for an event

create_agent_wake

Create a durable MCP task that completes when a webhook arrives, a person answers a form or a chosen time is reached. Use it when an agent must pause and continue after an outside event without holding one HTTP request open. The task lasts from 60 seconds to 24 hours. Webhook bodies and human answers are readable by anyone holding the task URL, so do not send secrets, credentials or personal data.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
titleNoFor human events. The question shown on the form.
optionsNoFor human events. The choices on the form.
wake_atNoFor time events. Unix timestamp to wake at.
allow_noteNoFor human events. Allow an optional note.
event_typeYesThe event that completes the task.
descriptionNoFor human events. Supporting detail shown below the title.
delay_secondsNoFor time events. Wake this many seconds from now.
timeout_secondsNoMaximum task lifetime in seconds.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
task_idYes
event_typeYes
completed_at_datetimeYes
completed_at_timestampYes

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. Added

TDQS

A4/5.0
Behavior4/5

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

Annotations only indicate readOnly=false, openWorldHint=true, idempotent=false, and destructive=false. The description adds valuable behavioral context beyond those: bodies and human answers are readable by anyone with the task URL, secrets should not be sent, and task lifetime ranges from 60 seconds to 24 hours. Nothing in the description contradicts the annotations.

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

Conciseness5/5

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

The description is compact and front-loaded: it defines what the tool does, specifies when to use it, states the duration limit, and includes an important security caveat. Every sentence contributes useful information with no redundancy or filler.

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?

The input schema and output schema already cover parameter and return details, so the description can focus on lifecycle, security, and intent, which it does. It adequately covers the usage scenario and important caveats, though it could have named sibling tools like create_human_approval or create_webhook_capture to further guide selection.

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 description coverage is 100%, and each parameter already has a clear description in the schema. The tool description adds no additional parameter-level meaning beyond grouping the event types, but with full schema coverage the baseline of 3 is appropriate.

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 states the tool's action: creating a durable MCP task that completes on a webhook, form answer, or time event. It is specific about the resource and behavior, and the three event types make it easy to distinguish from the read-focused sibling tools. It does not explicitly name the overlapping create_human_approval or create_webhook_capture tools, so it slightly misses the chance to differentiate itself from them.

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?

The description provides explicit guidance: "Use it when an agent must pause and continue after an outside event without holding one HTTP request open." This gives a clear usage context. It does not describe when not to use it or refer directly to sibling alternatives, but the stated condition is actionable.

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

A4.3/5.0
Disambiguation5/5

Each tool belongs to a clearly separated resource family: leases, heartbeats, human approvals, webhook captures, temporary data, and small utilities. Even similar-sounding tools like create_agent_wake and create_heartbeat are differentiated by their descriptions: durable task completion versus deadline monitoring.

Naming Consistency5/5

Tool names consistently use a snake_case verb_noun pattern, such as acquire_lease, create_heartbeat, read_webhook_capture, and store_temporary_data. Paired operations read naturally, with only a minor and acceptable variation between get_current_time and the read_* tools.

Tool Count4/5

At 18 tools, this is slightly above the ideal 3-15 range, but the server intentionally bundles several independent public utilities rather than one narrow domain. Each tool has a distinct purpose, so the count feels full but not bloated.

Completeness4/5

Core workflows are well covered: leases support acquire, renew, release, and complete; heartbeats support create, ping, and read; captures, approvals, and temporary data have create/read or store/read pairs. There are no explicit delete, cancel, or update tools, but the 24-hour expiration design makes those gaps manageable.