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jbrasero

MCP para Primavera Unifier

by jbrasero

unifier_approval_control

Validate a Primavera Unifier shell, query business process records by status, and group them by assignee to detect pending approval workload.

Instructions

Control de aprobaciones de solo lectura. Valida un shell, consulta un BP filtrado por estado y agrupa los registros por responsable para detectar carga pendiente.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
bpnameYes
statusNoPending
record_fieldsNo
project_numberYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

C2.9/5.0
Behavior3/5

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

No annotations are provided, so the description must carry the behavioral burden. It does disclose the key read-only nature ('solo lectura') and outlines the high-level pipeline, but it omits prerequisites, error handling, permission requirements, and what the grouping result looks like. This is useful but incomplete for an unannotated tool.

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 two short sentences with no wasted filler and front-loads the read-only nature before the operational steps. It is appropriately sized for the amount of information given, though the structure could more clearly separate purpose, preconditions, and result.

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 four parameters, no annotations, no output schema, and 0% schema description coverage, the description is too sparse. It conveys the general workflow but not enough for an agent to know required inputs, expected return structure, or failure behavior.

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 0% and there are four parameters, so the description must compensate. It hints at a shell (likely project_number), a BP (bpname), and status filtering, but it never maps parameters explicitly and leaves record_fields completely unexplained.

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 states a clear multi-step purpose: validate a shell, query a BP filtered by status, and group records by responsible to detect pending load. This is more specific than a tautology and conveys the tool's approval-control role, but it does not explicitly distinguish it from siblings such as unifier_list_bp_records or unifier_find_bp_record.

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?

The description gives no when-to-use or when-not-to-use guidance and does not name any alternative tool. It implies the tool is for approval control and pending-load detection, but an agent gets no explicit routing criteria among the many sibling tools.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.