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report brand

report_brand
Read-only

Brand health report from public signals: positioning and messaging, logo and colours, news coverage and sentiment, public-interest trend, search basics, AI-agent visibility (llms.txt, MCP, agent card), hiring momentum and channels, with quick wins and a PDF. If too few sources answer you are not charged (with async=true the core source is checked before the job is queued and charged). Costs $2 USDC per call (x402).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pdfNoInclude a 7-day PDF link (default true)
asyncNoReturn a job id now and the report later (the core source is checked first)
brandNo
domainYes
wikipediaNoWikipedia article title if different from the brand
webhook_urlNoWith async: POST the finished report here

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.8/5.0
Behavior4/5

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

Annotations only cover readOnlyHint and openWorldHint; the description adds material context the annotations cannot convey — a $2 USDC per-call charge via x402, the no-charge outcome when too few sources answer, and the async-specific detail that the core source is checked before queuing and charging. That is meaningful operational disclosure for a paid, externally-sourced job. It does not state latency, rate limits, or what an error/no-data response looks like.

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?

One dense but front-loaded block: the deliverable and its section list come first, then the commercial and charging conditions. The section enumeration is long but is doing real work in standing in for an output schema. Slightly overstuffed in a single sentence.

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 must convey the return, and it does so by listing report contents plus the optional PDF link and webhook delivery. Pricing and the asynchronous charging rule are covered. What is missing is routing guidance against sibling report tools and clarification of the required domain vs optional brand/wikipedia inputs.

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 67%, with brand and domain carrying no descriptions at all. The description partly compensates by framing the whole call as domain/brand-driven and by explaining the async charging gate, while pdf and webhook_url are already documented in the schema. It still leaves the brand-vs-domain-vs-wikipedia relationship unexplained.

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 names a specific deliverable ('Brand health report from public signals') and enumerates the exact sections produced (positioning/messaging, logo and colours, news sentiment, AI-agent visibility, hiring momentum, quick wins, PDF). That is far more concrete than the bare title. It never distinguishes itself from near neighbours such as report_company, report_domain, report_seo or report_competitors, so an agent must infer the boundary.

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?

Conditions are implied rather than stated: it describes 'public signals' inputs and warns about the too-few-sources case, which hints at when it is worthwhile, but there is no when-to-use / when-not-to-use guidance against the many sibling 'report_*' tools. An agent can tell roughly what it produces but not when to prefer it over report_company or report_seo.

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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