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explore_cameras

Discover random public camera feeds worldwide. Filter by city, country, or category to narrow selection, or leave empty for a surprise pick.

Instructions

Get random cameras from the registry for discovery. Returns a surprise selection. Filter by city, country, or category to narrow the pool, or leave empty for a truly random pick.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
cityNoFilter pool to this city (e.g. 'Tokyo', 'Paris')
countryNoFilter pool to this country (e.g. 'JP', 'France')
categoryNoFilter by category: city, park, highway, airport, port, weather, nature, landmark, other
countNoHow many random cameras to return (default 3, max 10)
Behavior3/5

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

No annotations are provided, so the description must cover behavioral traits. It mentions randomness and filtering, which is good, but does not disclose whether the operation is read-only, required authentication, or any side effects. Adequate but not fully transparent.

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?

Two sentences, front-loaded with the main purpose, no redundancy. Every word serves a purpose.

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?

The description covers the basic behavior but lacks details about return format (what fields are in the 'surprise selection'), pagination, or default count. With no output schema, more completeness would be beneficial.

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 description adds little new meaning. It reinforces the filtering concept but does not provide deeper semantics beyond what the schema already offers. Baseline 3 is appropriate.

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 uses a specific verb ('Get') and resource ('random cameras from the registry') and clearly states the purpose ('for discovery'). It distinguishes itself from sibling tools like list_cameras or search_cameras by emphasizing randomness.

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

Usage Guidelines4/5

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

The description explains when to filter (city, country, category) and when to leave empty for random selection. It does not explicitly list alternatives or exclusions, but the context is clear enough for most discovery scenarios.

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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