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Local Falcon MCP Server

Local Falcon MCP Server

by local-falcon
OverviewSchemaSourceRelated ServersDiscussionsAdmin
TypeScript
Hybrid

listAllLocalFalconLocations

Retrieve a comprehensive list of locations by matching search queries against names, addresses, Place IDs, or store codes using Local Falcon MCP Server’s integration.

Instructions

Retrieves a list of all locations.

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": "listAllLocalFalconLocations"
  }
}

Input Schema

NameRequiredDescriptionDefault
queryNoSearch query. Matches against location name, address, Place ID, or store code.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

B3/5.0
Behavior2/5

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

No annotations are provided, so the description carries full burden. It mentions retrieval but doesn't disclose behavioral traits like pagination, rate limits, authentication needs, or what 'all locations' entails (e.g., all accessible locations). This leaves gaps for an AI agent to understand operational constraints.

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?

The description is a single, efficient sentence with no wasted words. It's front-loaded and appropriately sized for a simple retrieval tool, making it easy to parse quickly.

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?

Given no annotations, no output schema, and a simple input schema, the description is minimally adequate but incomplete. It covers the basic purpose but lacks details on behavior, usage context, or output format, which could hinder an AI agent's ability to invoke it correctly in complex scenarios.

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

Parameters4/5

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

Schema description coverage is 100% for the single parameter 'query', which is well-documented in the schema. The description adds no parameter information, but with 0 required parameters and high schema coverage, the baseline is 3. Since there's only one optional parameter, the description's lack of param details is less critical, warranting a 4.

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

Purpose3/5

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

The description 'Retrieves a list of all locations' clearly states the verb ('retrieves') and resource ('locations'), but it's vague about scope and doesn't distinguish from siblings like 'getLocalFalconGoogleBusinessLocations' or 'listLocalFalconLocationReports'. It lacks specificity about what type of locations (e.g., Falcon locations) or context.

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 guidance is provided on when to use this tool versus alternatives. With many sibling tools (e.g., 'getLocalFalconLocationReport', 'listLocalFalconLocationReports'), the description doesn't clarify if this is for raw location data versus reports, or when filtering via query is appropriate.

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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