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signaltender-mcp

generate_rfp_response

API #09: Draft an evaluator-ready Shipley Technical Proposal Section (with Win Themes, Proof Points, and Risk Mitigations) AND generate strategic Vendor Clarification Q&A questions.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
rfp_section_textYesRFP Section C/L/M requirements to respond to.
target_section_typeNotechnical_approach
tone_and_methodologyNoShipley Proposal Methodology (Active Voice, Evaluator-First, Feature-Benefit-Proof)
company_context_and_capabilitiesYesBidder's technical capabilities, past performance metrics, and differentiators.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.7/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full behavioral burden. It discloses the composite nature of the operation (proposal section plus Q&A) and the artifacts produced (Win Themes, Proof Points, Risk Mitigations), which is useful, but says nothing about permissions, cost/rate limits, output format, or that it is a two-headed operation the caller cannot split.

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

Conciseness3/5

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

Front-loaded with the verb and compact, but the single run-on sentence crams two distinct operations together with ALL-CAPS asides and an unnecessary 'API #09' tag. Structure is passable rather than clean.

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?

With no output schema and no annotations, the description should have said more, yet it partially covers returns by listing the artifacts produced. It still leaves parameter behavior and usage conditions undocumented, so it is not sufficient for a 4-parameter generative tool.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is only 50%, so the description needed to compensate and does not. It never explains target_section_type, the tone_and_methodology default, or how rfp_section_text relates to the generated content; the Shipley reference only tangentially echoes the methodology default.

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 names a concrete verb+resource: drafting a Shipley Technical Proposal Section and generating Vendor Clarification Q&A. It implicitly separates this generative tool from its extract/classify/scan siblings, but never names an alternative explicitly. The 'API #09' prefix is noise that adds nothing to purpose.

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 when-to-use, when-not-to-use, or prerequisite guidance is given. The description says what it produces but not the conditions under which an agent should choose it over generate_compliance_matrix or the other sibling tools. Usage must be inferred entirely.

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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