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Noveum

API-Market MCP Server

by Noveum

Search_for_places_by_text

Find locations by entering a text string, with options to specify language and geographic bounds for precise results. Designed for API-Market MCP Server integration.

Instructions

Search for places by text string

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
boundsNoThe bounding box for results preference. Format: south,west,north,east. Coordinates: decimal degrees.
languageNoThe two-letter language code in which to return results (ISO 639-1)
textYesA text string on which to search
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It only states the basic action without mentioning any traits like rate limits, authentication needs, response format, or error handling. This is inadequate for a search tool that likely interacts with external APIs.

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 with the core action and resource, making it easy to parse quickly. This is an example of optimal conciseness for a simple tool.

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 lack of annotations and output schema, the description is insufficient. It doesn't explain what the tool returns (e.g., list of places, coordinates, types) or any behavioral context like pagination or API limits. For a search tool with potential complexity, this leaves critical gaps.

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 description coverage is 100%, so the schema already documents all parameters thoroughly. The description adds no additional meaning beyond what's in the schema, such as examples or usage tips. This meets the baseline for high schema coverage but doesn't enhance understanding.

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 verb ('Search') and resource ('places'), and specifies the method ('by text string'), making the purpose understandable. However, it doesn't distinguish this tool from its sibling 'Search_for_nearby_places', which could cause confusion about when to use each.

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 like 'Search_for_nearby_places' or other search tools in the list. There's no mention of context, prerequisites, or exclusions, leaving the agent to infer usage from the name alone.

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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