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Stratalize Governance

get_saas_negotiation_playbook

Read-only

Use when a major SaaS contract is approaching renewal or auto-renewal risk. Returns timing strategy, leverage points, walk-away alternatives, and a complete negotiation script for any vendor. Example: Datadog renewal — initiate 90 days before, cite Grafana Cloud at 40% lower cost as walk-away, target 15-20% discount — Q4 close adds urgency leverage. Source: Stratalize procurement intelligence. $0.02 USDC per call.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
vendor_nameYese.g. Salesforce, HubSpot, Slack
renewal_days_outNoDays until renewal
contract_value_annualNoCurrent ACV in USD

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added
  2. Removed
  3. First observed

TDQS

A4.5/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, so the safety profile is known. The description adds context about the output content, the source (Stratalize procurement intelligence), and the cost per call ($0.02 USDC), which goes beyond annotations and helps the agent understand the tool's nature and 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?

The description is a single, well-organized paragraph that front-loads the trigger condition, lists the output, provides a concrete example, and ends with source and cost. Every sentence earns its place; there is no filler.

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

Completeness5/5

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

With no output schema, the description clearly states what the tool returns (timing strategy, leverage points, walk-away alternatives, negotiation script), making the return value explicit. It also includes cost and source, which are useful for an agent to decide whether to call it. No missing information that an agent would need to correctly invoke this tool.

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 100% with descriptions for all three parameters. The description adds a concrete example (Datadog) that illustrates how the parameters (vendor_name, renewal_days_out, contract_value_annual) are used in practice, clarifying their semantics beyond the schema. However, it does not introduce new parameter meanings beyond what the schema provides.

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 states a specific trigger condition ('approaching renewal or auto-renewal risk') and clearly enumerates what the tool returns (timing strategy, leverage points, walk-away alternatives, negotiation script). It provides a concrete example that reinforces the purpose and differentiates it from generic vendor tools by focusing on SaaS contract negotiation.

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

Usage Guidelines4/5

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

The description explicitly tells when to use it ('Use when a major SaaS contract is approaching renewal...'). It does not mention when not to use it or explicitly compare to sibling tools like get_vendor_negotiation_intelligence, but the clear trigger condition is sufficient guidance for an agent.

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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