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AIMFP

AIMFP

by aryanduntley
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
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get_wildcard_flows

Read-onlyIdempotent

Retrieve all directive flows applicable from any context, including functional programming references, utilities, and cross-cutting concerns, with optional type filtering.

Instructions

Get all directive flows from wildcard '*' source (available from ANY context). Includes FP references, utilities, cross-cutting concerns.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "get_wildcard_flows"
  }
}

Input Schema

NameRequiredDescriptionDefault
flow_typeNoOptional filter: 'reference_consultation', 'utility', 'conditional', etc.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.37.0

TDQS

A3.8/5.0
Behavior3/5

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

Annotations already declare readOnlyHint and idempotentHint. The description adds that results include FP references, utilities, and cross-cutting concerns, providing extra behavioral context without contradicting annotations.

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

Conciseness5/5

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

Two sentences, zero waste. First sentence front-loads purpose and scope, second lists included items. Highly efficient.

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?

Simple tool with one optional param and no output schema. Description adequately covers what is retrieved and its special status (wildcard). Lacks explicit output format, but given the tool's simplicity, it is nearly complete.

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?

With 100% schema description coverage for the single optional parameter, the description adds no additional semantic meaning beyond what the schema already provides. Baseline score is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool retrieves 'all directive flows from wildcard '*' source', specifying scope and contents (FP references, utilities, cross-cutting concerns). This distinguishes it from siblings like get_all_flows or get_directive_flows.

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?

The description implies usage for universal flows (wildcard) but does not explicitly state when to use or avoid this tool versus alternatives. No direct comparison or exclusion criteria provided.

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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