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revenue-enablement-mcp

Win/Loss Analyzer

win_loss_analyzer
Read-only

Structure a win/loss review of one deal or a set of deals: organizes the deal details you provide and returns the factors and questions to investigate.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
deal_valueNoDeal value
loss_reasonNoStated loss reason (for lost deals)
deal_detailsNoDeal details, can be rough notes, CRM export, or structured data
deal_outcomeNoDeal outcome for single deal analysis
analysis_typeYesType of analysis
your_solutionNoWhat you were selling
competitor_wonNoCompetitor who won (if applicable)
multiple_dealsNoFor portfolio analysis: summary of multiple deals
sales_cycle_daysNoLength of sales cycle
stakeholders_involvedNoKey stakeholders and their positions

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.4/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false, openWorldHint=false, so the safety profile is covered by structured data. The description adds one genuinely useful behavioral fact — the tool returns 'factors and questions to investigate' rather than verdicts — but says nothing about handling of missing inputs, partial data, or scope limits.

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?

A single front-loaded sentence with no filler; the purpose leads and the return note trails. The colon-joined construction is slightly dense but every clause earns its place.

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

Completeness3/5

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

For a 10-parameter tool with 1 required field and no output schema, the description gives only a one-line account of what comes back. It leaves the mode-selection semantics of analysis_type unexplained and gives no sense of what input is mandatory versus optional, so an agent must infer call shape entirely from the schema.

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%, so the baseline is 3; the description adds no parameter-level meaning beyond the schema. Notably it does not explain what the four analysis_type modes (single_deal, deal_portfolio, competitor_analysis, loss_pattern) actually do, which is the single highest-value thing it could have clarified.

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+resource ('Structure a win/loss review') and scopes it to 'one deal or a set of deals', which is concrete and actionable. It does not differentiate itself from the eleven sibling tools (e.g. deal_strategy_coach, loss_pattern-adjacent tools), so it stops short of a 5.

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 context is implied: you run this when you want to review a deal or a portfolio of deals, and the 'one deal or a set of deals' phrasing hints at the analysis_type choice. However, there is no explicit when-to-use, no when-not-to-use, and no named alternative among the many sibling deal tools.

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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