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search_cameras

Find cameras by location or type using text search. Search across name, city, country, and category to locate specific cameras.

Instructions

Search cameras by text. Matches against name, city, country, location, and category. Use when looking for cameras in a specific place or of a specific type.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesSearch term — matches camera name, city, country, location, and category
limitNoMax results to return (default 20, max 100)
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. It does not disclose behavioral traits such as whether the operation is read-only, pagination behavior (though limit hint is in schema), or performance characteristics. A search tool should at least state it is read-only.

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: two sentences that front-load the purpose and usage. Every word adds value, and there is no fluff.

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

Completeness4/5

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

For a simple tool with only two parameters and no output schema, the description covers the core functionality and usage. It is slightly lacking in behavioral details (e.g., ordering of results, whether pagination is implicit), but overall it is adequate.

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 the description adds no new meaning beyond the schema for both parameters. The description repeats the schema's information about matched fields without providing additional context like partial matching or case sensitivity.

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 clearly states the tool's purpose: 'Search cameras by text' and specifies the fields matched: name, city, country, location, and category. This distinguishes it from sibling tools like explore_cameras or list_cameras.

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 provides clear usage context: 'Use when looking for cameras in a specific place or of a specific type.' While it doesn't explicitly list when not to use it, the guidance is sufficient for an agent to differentiate from siblings.

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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