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Dalea AI

Update strategy brief

update_strategy_brief
DestructiveIdempotent

Update the brand's strategy brief (onboarding brief). Only these keys can change: niche, niches, topics, profileType, contentGoal, icpWho, icpWants, mainPain, promiseLine, toneStyle, contentPillars, tabooTopics, mediaTypes. Also accepts offerInputMode, offerUrl, offerManual (what, forWho, outcome), offerIntent, pageContentStyle and siteUrl. Null clears optional offer/site fields; switching offer mode clears the previous offer. Keys not in patch are kept. Does not regenerate memory. Returns the editable brief.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
patchYes
brandIdNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior5/5

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

Annotations only mark this as a destructive, idempotent write; the description adds real behavioral depth beyond them – partial-patch semantics ('Keys not in patch are kept'), destructive null-clearing, offer-mode switching clearing the prior offer, and the fact that memory is not regenerated. This is exactly the kind of side-effect disclosure a mutation tool needs.

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?

Front-loaded with the core action and scope, then dense key lists and edge-case semantics. Every sentence carries information, though the long key enumeration reads more like schema echo than prose.

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?

For a nested-object mutation tool, the description covers patch semantics, null-clearing, mode switching, and even the return ('the editable brief'), despite no output schema. It stops short of explaining individual field meanings, which is the remaining gap.

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 0%, so the description must carry the load. It enumerates the allowed keys and expands offerManual into (what, forWho, outcome), but largely restates schema property names without explaining each key's meaning or constraints, so it only partially compensates for the coverage gap.

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 and resource ('Update the brand's strategy brief'), reinforced by a synonym '(onboarding brief)'. It implicitly distinguishes itself from siblings such as refresh_strategy_brief and regenerate_creator_memory via 'Does not regenerate memory', but does not name those alternatives outright.

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 through the enumerated patchable keys and the offer-mode semantics, giving the agent a sense of when the tool is appropriate. However there is no explicit when-to-use/when-not guidance and no named alternative such as refresh_strategy_brief for a full regeneration.

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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