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BACH-AI-Tools

LinkedIn Bulk Data Scraper

dog_fact_1

Retrieve a random dog fact to use as a fun break during LinkedIn data extraction.

Instructions

Returns dog fact

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

With no annotations and a minimal description, behavioral traits such as randomness, caching, or single vs multiple facts are unaddressed. The agent cannot infer side effects or return behavior from 'Returns dog fact' alone.

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 extremely concise at three words, with no wasted text. It is front-loaded with the action and resource, meeting the criteria for high efficiency.

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?

Despite zero parameters, the description fails to specify the return format or whether the fact is random/static. An output schema is absent, so more detail is needed for completeness.

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?

There are no parameters, and schema coverage is 100%. The description adds no meaning beyond the schema, but this is acceptable for a parameterless tool. Baseline of 3 is appropriate.

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 'returns' and the resource 'dog fact', making the tool's purpose understandable. However, it does not distinguish itself from the sibling tool 'dog_fact', which likely has identical functionality, missing an opportunity to differentiate.

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 like 'dog_fact', 'cat_facts', or 'cat_facts_1'. The description lacks any context for selection, leaving the agent to guess.

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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