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Translate Execution

impact_translate_execution
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Helps you decide how your positioning should read in each channel. You give a positioning statement, your target customer and the key benefit, plus optional channels, product name and business model. You get copy to edit: a website hero, a LinkedIn tagline and post drafts, a three email cold sequence, a sales deck outline and a 15 minute demo script, with calls to action that fit your business model and the order to work the channels in.

Input Schema

NameRequiredDescriptionDefault
channelsNoWhich channels to cover, from website, linkedin, cold_email, sales_deck and product_demo. Others are listed as not covered; with none, all five are covered
key_benefitYesPrimary benefit, written as an action (for example "fix critical exposures first")
your_sectorNoYour company's own industry (not your customers'). When given, it decides the sector notes; when left out, the tool reads it from your words and stays neutral if they are unclear.
product_nameNoYour product name
business_modelNoHow you sell (saas, services, connectivity, transactions, marketplace, hardware_software or investment). Used to choose calls to action and commercial terms; read from your inputs when not given
target_customerYesTarget customer profile
positioning_statementYesYour core positioning statement

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.8/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false and openWorldHint=false, so the safety profile is settled and the description adds no risk context. It does disclose the default behavior that all five channels are covered when none are specified, which is genuinely useful, but it says nothing about non-determinism, length, edit expectations, or why it is described as copy "to edit."

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?

Two sentences: the first frames the job, the second lists inputs and outputs, with the purpose front-loaded. The output list is long but each item is a real deliverable, so it earns its space; only the trailing "and the order to work the channels in" clause feels appended rather than integrated.

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

Completeness4/5

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

With no output schema, the description carries the burden of describing returns, and it does so concretely by naming every deliverable and the calls to action. For a seven-parameter generative tool the remaining gap is small: output format and whether results are deterministic are unstated, and the sector parameter is unmentioned.

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 coverage is 100%, so the baseline is 3, but the description goes beyond field labels by explaining effects: business_model drives the calls to action and commercial terms, and channels determine which artifacts appear plus "the order to work the channels in." The only unexplained input is your_sector, which is left out of the description entirely.

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?

The description uses a concrete framing ("how your positioning should read in each channel") and enumerates the exact artifacts produced: website hero, LinkedIn tagline and post drafts, three-email cold sequence, sales deck outline, 15-minute demo script. That is far more specific than the title alone, though it never names or contrasts the sibling tools (craft_message, anchor_market) that likely precede it.

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 states the entry condition clearly: you must already have a positioning statement, target customer and key benefit, and the tool then translates them into per-channel copy. It also implies a downstream role in the funnel by consuming positioning rather than producing it. It stops short of explicit when-not guidance or naming an alternative tool for a different job.

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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