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shashwatgtm

revenue-enablement-mcp

by shashwatgtm

proposal_section_writer

Generate tailored proposal sections for specific buyers, including executive summaries and pricing justifications, by inputting customer challenges and solution details.

Instructions

Generate customized proposal sections tailored to specific buyers. Creates executive summaries, solution overviews, pricing justifications, and more.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
section_typeYesProposal section to generate
customer_nameNoCustomer name
customer_industryNoCustomer industry
primary_audienceNoPrimary reader of proposal
customer_challengesNoKey challenges identified
your_solutionYesYour product/solution
key_differentiatorsNoWhy you vs alternatives
pricingNoPricing details if relevant
implementation_approachNoHow you will implement
success_metricsNoExpected outcomes/metrics
toneNoTone for the proposal
Behavior2/5

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

No annotations are present, and the description does not disclose any behavioral traits such as side effects, authorization requirements, or output format. The agent is left without critical behavior information for a tool that likely writes content.

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?

The description is concise with two sentences and is front-loaded with the main action. It could be slightly more informative, but it earns its place.

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

Completeness2/5

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

Given the complexity (11 parameters, no output schema, no annotations), the description is too brief. It does not explain the output, how parameters interact, or prerequisites, leaving significant gaps for an AI agent.

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?

The input schema has 100% parameter description coverage, so the schema already explains each parameter. The tool description adds no extra meaning beyond listing some section types, which are already enumerated in the schema.

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 clearly states the tool generates customized proposal sections and gives examples like executive summaries and pricing justifications. It distinguishes from sibling tools, which focus on other aspects of sales strategy, but the phrase 'and more' is slightly vague.

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

Usage Guidelines2/5

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

No guidance is provided on when to use this tool versus its siblings or when not to use it. The description only states the basic function without contextual cues.

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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