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agentweb_get_short

Fetch a business's contact info (name, phone, email, website, hours, location) in a compact format using ~80% fewer tokens than the standard response.

Instructions

Fetch a business in the AgentWeb compact shorthand format. Returns the same business as get_business but in ~320 bytes instead of 3-5 KB. Single-letter keys (n=name, p=phone, e=email, w=website, h=hours, g=[lat,lng], s=social, etc.). ~80% fewer tokens for the LLM. Use this whenever you just need contact info — saves significant tokens vs. get_business. Schema: https://api.agentweb.live/v1/schema/short

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesThe unique business ID from AgentWeb
Behavior5/5

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

With no annotations, the description fully covers behavior: explains the compact format, single-letter keys, token savings, and links to external schema. No destructive or auth concerns implied.

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

Conciseness4/5

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

Front-loaded purpose, concise sentences, includes useful comparison and external link. Slightly verbose with parenthetical examples, but overall efficient.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given simple input (one param, no output schema, no annotations), description is complete: explains purpose, format, token advantage, and directs to external schema.

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 coverage is 100%, so baseline is 3. Description adds context about output format but does not enhance parameter meaning beyond what schema provides for the single 'id' parameter.

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?

Description clearly states it fetches a business in compact shorthand format to save tokens, distinguishing itself from get_business with specific verb and resource.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicitly states when to use this tool ('whenever you just need contact info') and directly contrasts with get_business as the alternative, providing clear usage guidance.

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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