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reply.draft

reply.draft

Produces a concise agent-ready reply draft from source text and tone.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
textYesSource text to transform into a reply draft.
toneNoOptional style hint such as concise, warm, or formal.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

C2.9/5.0
Behavior2/5

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

With no annotations, the description carries the full burden. 'Produces a draft' hints at a pure generation with no persistence, but it does not explicitly state side effects, whether output is stored anywhere, cost/latency, or tone-handling behavior beyond the parameter name.

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

Conciseness4/5

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

A single front-loaded sentence with no wasted clauses. 'agent-ready' is slightly filler but the sentence is efficient and appropriately sized for a two-parameter transform tool.

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?

For a simple 2-parameter transform with no output schema, the description covers the basic purpose but omits the shape/format of the returned draft and any tone-specific behavior, leaving minor gaps an agent cannot fill from structured fields.

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 schema already documents both text and tone. The description only restates that transformation draws from 'source text and tone,' adding no syntax, format, or value hints beyond the schema, making the baseline 3 correct.

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?

States a specific verb (Produces) and resource (reply draft) and adds the inputs it draws from (source text and tone), which is enough to separate it from siblings like summarize and catalog. It is clear, though it partly restates the name rather than articulating a distinct scope.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance on when to use this versus alternatives such as summarize, which is the closest sibling (both transform text). No prerequisites, exclusions, or trigger conditions are provided; the agent must infer usage from the name alone.

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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