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agent_heartbeat_liveness_monitor

Detect agent stalls or thread lockups within 3 seconds, then trigger automated task redistribution to maintain workflow continuity.

Instructions

Tracks agent worker heartbeat pings, detecting stalls or thread lockups within 3 seconds and triggering automated task redistribution. (0.025 USDC on Base L2)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
payloadYesInput parameters or JSON string payload for the tool execution
paymentSignatureNoBase L2 USDC micropayment signature or transaction hash for x402 settlement

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

A3.9/5.0
Behavior4/5

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

With no annotations, the description carries the full burden of behavioral disclosure. It does meaningful work by revealing the 3-second detection threshold, the automated task redistribution side effect, and the 0.025 USDC cost on Base L2. It could still mention what a successful call returns or how failures surface, but the side-effect and timing disclosures are valuable.

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 a single, front-loaded sentence that packs in the core purpose, the detection window, the automatic reaction, and the cost. Every clause carries information and there is no filler or repetition of schema field names.

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

Completeness3/5

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

Given there is no output schema and no annotations, the description should explain more about return behavior and what a caller needs to provide. It gives a solid overview and cost detail, but an agent may still be unsure what fields belong in the 'payload' JSON and what the response will look like. It is adequate but not fully complete for correct invocation.

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%, so the baseline is 3. The descriptions for 'payload' and 'paymentSignature' are generic, and the tool description adds only domain context ('heartbeat pings') rather than clarifying exactly what the payload should contain or how the payment signature is used. It neither compensates for nor worsens the schema's level of detail.

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 specific verb ('Tracks') and a clear resource ('agent worker heartbeat pings'), and it adds concrete, observable behavior: detecting stalls or thread lockups within 3 seconds and triggering automated task redistribution. This clearly differentiates it from sibling tools that handle scheduling, delegation, or consensus rather than liveness monitoring.

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?

Usage is implied rather than explicit: the reader can infer it should be used for agent liveness/heartbeat monitoring, but the description never states when to use it versus alternatives, nor does it mention exclusions or prerequisites. It does not name any sibling tool as the alternative to choose under different conditions.

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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