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get_brand_profile

Read-onlyDestructive

The brand's positioning profile (Site Intelligence tab): industry, USP, ideal customer profile, target audience, brand summary, logo/favicon. THE context to load before writing or optimizing any page for the brand — tone, audience, and positioning come from here. Lazily generated server-side if missing. Free read. (Different from get_site_insights, which is GSC/GA traffic intelligence.)

Input Schema

NameRequiredDescriptionDefault
detailNoOutput verbosity: "concise" (default) trims long lists to top-25 and caps size; "detailed" returns the full result.
site_idYesThe brand/site ID

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.1/5.0
Behavior3/5

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

Adds genuine context beyond annotations: lazy server-side generation when missing, and cost ('Free read'). However, annotations declare destructiveHint=true and idempotentHint=false, and the description never explains what side effect or state change could justify that — 'free read' sits in tension with a destructive hint. The generation behavior partially explains it, but this is not clearly reconciled.

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?

Three dense sentences plus one parenthetical, all front-loaded and purposeful: content inventory, usage trigger, generation/cost behavior, sibling disambiguation. Some caps emphasis ('THE') is stylistic padding, but no sentence is wasted.

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 compensates by enumerating the returned fields, and it covers generation timing, cost, and the competing sibling. A brief note on response structure or the effect behind the destructiveHint would close 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 100%, including the detail concise/detailed enum semantics, so the schema already carries parameter meaning. The description adds nothing about site_id or the detail option, so baseline 3 applies.

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?

Specific verb+resource (get the brand's positioning profile) with an explicit inventory of the fields returned (industry, USP, ICP, audience, summary, logo/favicon). It also names the sibling it is NOT (get_site_insights, which is traffic intelligence), so an agent can discriminate without opening the schema.

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

Usage Guidelines5/5

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

Explicit trigger: 'THE context to load before writing or optimizing any page for the brand.' It also supplies an explicit exclusion/alternative and the reason (positioning vs. GSC/GA traffic intelligence). Nothing about when to reach for this tool is left to inference.

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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