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Taminyaran Engineering MCP

project_intake

Read-onlyIdempotent

Normalize a project brief into a stateless machine-readable engineering intake. Excavation/foundation groundwater projects run CAL-065 network/perimeter, CAL-066 gravity HGL and CAL-067 pump TDH/wet-well screens. Missing values remain null and return HOLD; nothing is persisted.

Input Schema

NameRequiredDescriptionDefault
goalNo
pumpNo
drainageNo
evidenceNo
geometryNo
structureNo
project_idNo
constraintsNo
groundwaterNo
project_typeYes
investigationNo
required_outputNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.3/5.0
Behavior4/5

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

Annotations already declare readOnly/idempotent/non-destructive, so the bar is lower, yet the description still adds real behavioral facts: stateless, nothing is persisted, missing values stay null and yield HOLD. These are non-obvious response-behavior traits not present in the annotations. It stops short of describing the actual returned payload shape.

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?

Three dense, front-loaded sentences with no filler; the core purpose leads and the CAL screen routing and HOLD rule follow. Domain codes are unexplained but are likely load-bearing for the target audience.

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?

For a 12-parameter tool with nested objects, no output schema, and zero schema description coverage, the description is thin: an agent cannot tell what belongs in pump/groundwater/evidence/geometry or what the HOLD output looks like beyond a status keyword.

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 coverage is 0% across 12 parameters including nine nested objects (pump, drainage, groundwater, geometry, structure, evidence, constraints, investigation), and the description explains only the null/HOLD convention — no meaning is given for any domain-specific field, so it does not compensate for the schema gap.

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?

Specific verb+resource: 'Normalize a project brief into a stateless machine-readable engineering intake' clearly states the transformation and its stateless nature. It implicitly separates this from design/explain siblings (intake vs. design), but never names them, so the sibling differentiation is left to inference.

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?

It gives useful routing context — excavation/foundation groundwater projects map to CAL-065/066/067 screens — and states the HOLD rule for missing values. But there is no explicit when-to-use-this-vs-design_project guidance and no stated prerequisites or exclusions; usage is implied rather than directed.

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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