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Ping heartbeat

ping_heartbeat

Record a check-in for an armed heartbeat and move its next expected deadline. Use it after successful work or from a liveness loop. A ping does not extend the absolute 24 hour lifetime. The heartbeat ID is a bearer secret. No authentication is required.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
heartbeat_idYesThe secret heartbeat ID returned by create_heartbeat.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
okYes
lateYes
missesYes
statusYes
on_missYes
deliveryNo
ping_urlYes
ping_countYes
status_urlYes
heartbeat_idYes
grace_secondsYes
missed_at_datetimeNo
created_at_datetimeYes
expires_at_datetimeYes
missed_at_timestampNo
created_at_timestampYes
expect_every_secondsYes
expires_at_timestampYes
miss_due_at_datetimeYes
terminal_at_datetimeNo
last_ping_at_datetimeYes
miss_due_at_timestampYes
terminal_at_timestampNo
last_ping_at_timestampYes
next_expected_at_datetimeYes
next_expected_at_timestampYes

Schema Changelog

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

  1. Added

TDQS

A4.7/5.0
Behavior5/5

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

Annotations are all false and provide no behavioral protection, so the description carries the full burden. It discloses the side effect (moving the next expected deadline), a non-obvious limitation (does not extend absolute lifetime), and security context (heartbeat ID is a bearer secret; no authentication required). This is rich, accurate, and goes beyond the schema.

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?

Four short sentences with no filler. The core action is first, usage follows, then critical caveats, then authentication. Every sentence earns its place.

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

Completeness5/5

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

With a single parameter, an existing output schema, and annotations that are all false, the description covers the essential operational facts: what the tool does, when to use it, the non-renewal caveat, and security handling. No crucial information appears to be missing for an agent to invoke it correctly.

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 description coverage is 100%, so the baseline is 3. The description adds value by emphasizing the heartbeat_id is a 'bearer secret,' which strengthens the schema's 'secret heartbeat ID' by implying it must be protected like a credential. It does not add format details, but the schema already includes pattern.

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 opens with a specific verb and resource: 'Record a check-in for an armed heartbeat and move its next expected deadline.' It clearly distinguishes this from sibling tools like read_heartbeat (read-only) and create_heartbeat (creation), and the effect is concrete.

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 explicit when-to-use guidance: 'Use it after successful work or from a liveness loop.' It also states a key when-not-to-use caveat: 'A ping does not extend the absolute 24 hour lifetime.' However, it does not name alternative sibling tools for comparison, so it stops short of a perfect 5.

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.