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signaltender-mcp

generate_compliance_matrix

API #05: Parse raw RFP Section C/L/M or SOW text into a Shipley-aligned shall/must Compliance Matrix, Section L-to-M cross-reference map, and hierarchical Proposal Outline with page allocations.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
raw_textYesRaw RFP Section C (SOW), Section L (Instructions), and/or Section M (Evaluation Criteria) text.
proposal_methodologyNoshipley

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.5/5.0
Behavior3/5

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 helpfully discloses the transformation outputs (matrix, cross-reference map, outline with page allocations), but says nothing about permissions, idempotency, size limits, or formatting of the result, leaving meaningful gaps.

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 that puts the input and the three outputs up front with no wasted prose. The 'API #05:' prefix is noise that adds nothing for an agent, slightly detracting from an otherwise tight statement.

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

Completeness4/5

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

With no output schema, the description usefully compensates by enumerating the three returned artifacts. For a simple two-parameter (one required) tool this is close to complete, though it omits behavioral details such as how the raw text is handled and any input constraints.

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 50%: raw_text is documented in the schema while proposal_methodology has an enum of three values with only a default and no description. The description references 'Shipley-aligned' output, hinting at the default methodology, but never explains the federal_standard or commercial_agile alternatives.

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 (Parse) and resource (raw RFP Section C/L/M or SOW text) and enumerates the three concrete outputs (Compliance Matrix, Section L-to-M cross-reference map, Proposal Outline). An agent can tell what it produces without opening the schema, though it never names or contrasts a sibling tool.

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 is only implied: the tool is for when you have raw RFP/SOW text and need a compliance matrix. There is no explicit when-to-use, when-not-to-use, or routing guidance against siblings like generate_rfp_response or parse_b2b_contract that also handle RFP-style input.

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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