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shashwatgtm

revenue-enablement-mcp

by shashwatgtm

win_loss_analyzer

Identify patterns in won and lost deals to improve win rates and optimize sales strategy for individual deals or entire portfolios.

Instructions

Analyze deal outcomes to identify patterns, improve win rates, and refine sales strategy. Works with single deals or deal portfolios.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
analysis_typeYesType of analysis
deal_outcomeNoDeal outcome for single deal analysis
deal_detailsNoDeal details - can be rough notes, CRM export, or structured data
loss_reasonNoStated loss reason (for lost deals)
competitor_wonNoCompetitor who won (if applicable)
deal_valueNoDeal value
sales_cycle_daysNoLength of sales cycle
stakeholders_involvedNoKey stakeholders and their positions
your_solutionNoWhat you were selling
multiple_dealsNoFor portfolio analysis: summary of multiple deals
Behavior2/5

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

No annotations are provided, so the description carries full burden for behavioral disclosure. The description only says 'analyze' and does not mention any side effects, auth requirements, rate limits, or what the tool returns. For a read-only analysis tool, this is a significant gap.

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?

Two sentences, front-loaded with the main action and scope, no redundant or tangential content. Every word 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?

Given 10 parameters, no output schema, and no annotations, the description covers the high-level purpose but lacks details on what the analysis produces, how to interpret results, or best practices for parameter combinations. It is adequate but has clear gaps.

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 each parameter described in the schema. The description adds no additional parameter-level meaning beyond the schema, meeting the baseline of 3.

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 the tool analyzes deal outcomes to identify patterns and improve win rates, and specifies scope with 'single deals or deal portfolios'. This is a specific verb-resource pairing that distinguishes it from sibling tools like deal_strategy_coach or competitive_trap_setter.

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 implies usage by stating it works with single deals or portfolios, but does not explicitly contrast against sibling tools or provide when-not-to-use guidance. The sibling context includes many related tools, so more explicit differentiation would help.

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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