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Check tone

check_tone
Read-onlyIdempotent

Score outgoing messages on directness, warmth, and urgency axes. Optionally compare to prior messages or a target register to flag deviations and get a refinement prompt.

Instructions

Score an outgoing message on directness / warmth / urgency axes (0..100), optionally relative to a baseline of the sender's prior messages, and flag phrases that deviate substantially from baseline or from a target register. Returns deterministic axes plus an LLM-refinement prompt.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
textYes
baseline_messagesNo
target_registerNo
channelNo
reader_contextNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

Annotations (readOnlyHint, idempotentHint) are consistent. Description adds behavioral context: returns deterministic axes plus LLM-refinement prompt. No contradictions.

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?

Two sentences, each meaningful and efficient. No redundant information.

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?

Covers all key aspects: input, optional parameters, output (axes + prompt). With output schema, return values are sufficiently described.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, but description fully explains each parameter: text (required), baseline_messages (prior messages), target_register (enum), channel, reader_context. Adds meaning beyond 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?

Description clearly states scoring of outgoing message on directness/warmth/urgency axes with optional baseline and flagging deviations. Differentiates from sibling tools like check_hyperfocus and check_rumination.

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?

Explains what it does and optional parameters (baseline, target, channel). Lacks explicit when-not-to-use or alternatives, but context is clear.

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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