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siva-sub

Singapore Location Intelligence MCP

by siva-sub

get_nearby_taxis

Find available taxis near any Singapore location by specifying coordinates or place name, with adjustable search radius for real-time transport planning.

Instructions

Find available taxis near a specified location

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
locationNoLocation name (e.g., "Marina Bay", "Orchard Road")
latNoLatitude coordinate
lngNoLongitude coordinate
radiusNoSearch radius in meters
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It states what the tool does but doesn't describe how it behaves: it doesn't mention whether results are real-time, paginated, sorted, or limited; what 'available' means; or any rate limits or authentication needs. This is a significant gap for a tool with no annotation coverage.

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 that front-loads the core purpose without unnecessary words. Every part of the sentence ('Find available taxis near a specified location') directly contributes to understanding the tool's function, making it appropriately concise and well-structured.

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 the tool's complexity (location-based query with multiple parameters) and lack of annotations and output schema, the description is incomplete. It doesn't explain what the tool returns, how results are formatted, or behavioral aspects like real-time data or limitations. For a tool with no structured output or safety hints, more context is needed.

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?

Schema description coverage is 100%, so the schema already documents all four parameters with descriptions and constraints. The description adds no additional parameter semantics beyond implying location-based filtering, which is already covered in the schema. Baseline 3 is appropriate when the schema does the heavy lifting.

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 clearly states the tool's purpose with a specific verb ('Find') and resource ('available taxis'), specifying the scope ('near a specified location'). It distinguishes from siblings like 'find_bus_stops' or 'get_bus_arrival' by focusing on taxis, but doesn't explicitly differentiate from other location-based tools like 'search_location' beyond the taxi 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?

The description provides no guidance on when to use this tool versus alternatives. It doesn't mention prerequisites, when not to use it, or compare it to sibling tools like 'plan_comprehensive_journey' for broader transportation planning. Usage is implied by the name and purpose but not explicitly stated.

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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