Skip to main content
Glama

set_pickup

Set your ride's pickup location by entering an address or place name. Tell Lyft where to meet you for pickup.

Instructions

Set the pickup location for your ride.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
locationYesPickup address or place name (e.g. '123 Main St, New York, NY')
Behavior2/5

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

With no annotations provided, the description must disclose behavioral traits, but it only states the action without any side effects, prerequisites, or effects on ongoing rides. It does not mention whether this updates an existing ride request, only sets a future pickup, or if any validation occurs.

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 concise sentence with no wasted words. It is appropriately front-loaded and contains exactly the information needed to convey the core action.

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 the tool's simplicity (one parameter, no output schema), the description is minimally sufficient, but it lacks contextual cues about where pickup fits in the ride lifecycle. It does not mention that pickup location is typically set before destination or ride request, which would improve completeness for an AI agent.

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?

The schema covers the single parameter 'location' with a clear description, and the tool's description adds no additional meaning beyond the schema. The baseline score of 3 applies because the schema fully documents the parameter, but the description does not offer extra semantic details.

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's function with a specific verb ('Set') and resource ('the pickup location for your ride'). It distinguishes from sibling tool set_destination by specifying 'pickup' as opposed to destination, making its purpose unambiguous.

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 provides no guidance on when to use this tool relative to alternatives. It does not mention that it should be used before requesting a ride, nor does it specify any exclusions or conflicting tools. The intended usage is only implied by the tool name and description.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/markswendsen-code/mcp-lyft'

If you have feedback or need assistance with the MCP directory API, please join our Discord server