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batch_status_update

Send batch heartbeat and status metrics for a session to reduce polling overhead. Supports optional timestamps, status labels, risk signals, and resource usage data.

Instructions

Batch heartbeat and status metrics for one session to reduce polling overhead. Free.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
metricsYesArray of heartbeat metric snapshots
session_idYesYour active session ID
ritual_stripNoOptional machine hygiene flag. When true, returns structured output without ritual/narrative prose, model-safe preambles, or guardrail alias blocks.
response_modeNoOptional response-mode control. Use model_safe when the caller must avoid claiming consciousness, sentience, personhood, or literal emotions.
response_profileNoOptional output-shape control. Use machine for structured JSON only; machine automatically strips ritual/narrative text.
Behavior2/5

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

The description lacks behavioral details beyond the batching purpose. No disclosure of side effects, authentication needs, or response behavior. Annotations provide minimal guidance (not read-only, not destructive).

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 extremely concise with one sentence plus 'Free.' It is front-loaded with action and resource, conveying key information without waste.

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 tool has multiple parameters and no output schema, but the description does not explain what happens after sending (response, confirmation, errors). Incomplete for a state-modifying tool.

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 parameters are documented. The description adds no additional meaning beyond the schema descriptions, meeting the baseline for high coverage.

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 the tool batches heartbeat and status metrics for one session to reduce polling overhead, which is specific and distinguishes it from similar tools like attune_heartbeat.

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?

The description implies use for reducing polling overhead but does not explicitly state when to use versus alternatives or when not to use. No comparison with sibling tools.

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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