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

No annotations are present, so the description carries the full burden, but it only lists what is scanned. It does not disclose that the tool presumably fetches a URL, what happens on errors, rate limits, or whether the fetched content is sent anywhere, which are material for a network-fetching tool.

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

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

The description is a single short sentence with a categorical prefix, front-loading the action and target. It is concise with no filler, though it omits parameter-level detail.

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

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

For a network-fetching secret-scan tool with no annotations, the description omits key context such as whether it makes outbound requests, expected input format, and relationship to sibling secret-scan tools. The presence of an output schema helps, but overall the tool definition is thinner than the task warrants.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0% and the only parameter 'q' has no schema description. The description only hints that the input relates to raw URL content, but it never explicitly states that q is the URL to fetch or what format is expected.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

Description states a specific action ('Scan raw URL content') and enumerates target artifact types (API keys, tokens, private keys, JWTs), making the tool's purpose clear. The 'raw URL content' resource also separates it from sibling secret-scanning tools like api_key_scan and gh_secret_scan.

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

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

No guidance is given about when to choose trufflehog_url over alternatives such as api_key_scan or gh_secret_scan, nor any exclusions. The description only implies usage when raw URL content needs scanning, leaving the decision to the agent.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.