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Glama

AI Business System Advisor

Generate Mini Report

generate_mini_report
Read-onlyIdempotent

Generates a public-safe mini business system review with snapshot, bottlenecks, opportunities, risks, first workflow, next step, missing information, and confidence.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
notesNoAny additional context the user wants considered in the review.
offerNoCore product, service, package, or outcome the business sells.
risksNoKnown trust, control, customer, or implementation risks to include.
aiIdeaNoAI or automation idea the user is considering.
nextStepNoExisting next-step recommendation to include or refine.
teamSizeNoApproximate team size and key roles involved in the workflow.
confidenceNoOptional confidence level to carry into the report.
goal90DaysNoDesired business or workflow outcome over the next 90 days.
bottlenecksNoKnown bottlenecks to include in the mini review.
constraintsNoKnown constraints such as budget, team capacity, tools, timeline, compliance needs, or data access.
currentGoalNoCurrent business goal the user wants the review to support.
businessTypeNoType of business, such as ecommerce, SaaS, consulting, agency, local service, or solo business.
revenueModelNoHow the business earns revenue, such as projects, retainers, subscriptions, services, or products.
riskConcernsNoConcerns related to customer trust, brand reputation, legal exposure, sensitive data, or quality control.
opportunitiesNoKnown AI opportunities to include in the mini review.
currentProblemNoMain business or workflow problem the user wants to solve.
targetCustomerNoPrimary customer segment or buyer the business serves.
currentWorkflowNoHow the relevant workflow currently works, including manual steps, tools, handoffs, and review points.
businessSnapshotNoExisting business snapshot to include or refine in the mini review.
preferredNextStepNoUser preference for self-guided, diagnostic, documentation, build, or review support.
recommendedWorkflowNoExisting first workflow recommendation to include or refine.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
confidenceYesConfidence level based on the clarity and completeness of the provided business context.
disclaimerYesPublic safety note explaining the limits of the review.
shortSummaryYesBrief summary of the review result.
reportMarkdownYesPublic-safe mini review formatted as markdown.
recommendedActionYesMost practical next action based on the supplied context.
missingInformationYesInformation the user should provide to improve report confidence.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed27 schema fields changed
    • addedInput schema / properties / aiIdea / description
      Added value: +"AI or automation idea the user is considering."
    • addedInput schema / properties / bottlenecks / description
      Added value: +"Known bottlenecks to include in the mini review."
    • addedInput schema / properties / businessSnapshot / description
      Added value: +"Existing business snapshot to include or refine in the mini review."
    • addedInput schema / properties / businessType / description
      Added value: +"Type of business, such as ecommerce, SaaS, consulting, agency, local service, or solo business."
    • addedInput schema / properties / confidence / description
      Added value: +"Optional confidence level to carry into the report."
    • addedInput schema / properties / constraints / description
      Added value: +"Known constraints such as budget, team capacity, tools, timeline, compliance needs, or data access."
    • addedInput schema / properties / currentGoal / description
      Added value: +"Current business goal the user wants the review to support."
    • addedInput schema / properties / currentProblem / description
      Added value: +"Main business or workflow problem the user wants to solve."
    • addedInput schema / properties / currentWorkflow / description
      Added value: +"How the relevant workflow currently works, including manual steps, tools, handoffs, and review points."
    • addedInput schema / properties / goal90Days / description
      Added value: +"Desired business or workflow outcome over the next 90 days."
    • addedInput schema / properties / nextStep / description
      Added value: +"Existing next-step recommendation to include or refine."
    • addedInput schema / properties / notes / description
      Added value: +"Any additional context the user wants considered in the review."
    • addedInput schema / properties / offer / description
      Added value: +"Core product, service, package, or outcome the business sells."
    • addedInput schema / properties / opportunities / description
      Added value: +"Known AI opportunities to include in the mini review."
    • addedInput schema / properties / preferredNextStep / description
      Added value: +"User preference for self-guided, diagnostic, documentation, build, or review support."
    • addedInput schema / properties / recommendedWorkflow / description
      Added value: +"Existing first workflow recommendation to include or refine."
    • addedInput schema / properties / revenueModel / description
      Added value: +"How the business earns revenue, such as projects, retainers, subscriptions, services, or products."
    • addedInput schema / properties / riskConcerns / description
      Added value: +"Concerns related to customer trust, brand reputation, legal exposure, sensitive data, or quality control."
    • addedInput schema / properties / risks / description
      Added value: +"Known trust, control, customer, or implementation risks to include."
    • addedInput schema / properties / targetCustomer / description
      Added value: +"Primary customer segment or buyer the business serves."
    • addedInput schema / properties / teamSize / description
      Added value: +"Approximate team size and key roles involved in the workflow."
    • addedOutput schema / properties / confidence / description
      Added value: +"Confidence level based on the clarity and completeness of the provided business context."
    • addedOutput schema / properties / disclaimer / description
      Added value: +"Public safety note explaining the limits of the review."
    • addedOutput schema / properties / missingInformation / description
      Added value: +"Information the user should provide to improve report confidence."
    • addedOutput schema / properties / recommendedAction / description
      Added value: +"Most practical next action based on the supplied context."
    • addedOutput schema / properties / reportMarkdown / description
      Added value: +"Public-safe mini review formatted as markdown."
    • addedOutput schema / properties / shortSummary / description
      Added value: +"Brief summary of the review result."
  2. 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, idempotentHint=true, destructiveHint=false. Description adds 'public-safe' but does not disclose further behavioral traits like performance, limitations, or output handling. Acceptable but minimal added value.

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

Conciseness5/5

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

Single sentence, front-loaded, no extraneous information. Every word contributes to understanding the tool's purpose and output.

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?

Given 21 parameters and an output schema, the description is moderately complete. It lists main report components but could better clarify the relationship to sibling tools and the structured output format.

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 coverage is 100% with detailed parameter descriptions, so baseline is 3. The description does not add any parameter-specific meaning beyond summarizing the output, so no extra value.

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?

The description clearly states it generates a 'public-safe mini business system review' and lists specific components (snapshot, bottlenecks, opportunities, etc.), distinguishing it from sibling tools that focus on individual aspects.

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?

The description implicitly suggests this tool is for a consolidated review, but lacks explicit guidance on when to use it versus siblings like identify_bottlenecks or recommend_first_workflow. No 'when-not-to-use' or alternative tool references.

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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