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

With no annotations provided, the description carries the full burden for behavioral disclosure. It clearly states the tool 'detects' and 'returns' information, implying a read-only analysis, but it does not explicitly confirm that it makes no modifications, handle error cases, or note any side effects like making external network requests. This is a reasonable but not exhaustive disclosure.

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 concise, front-loaded with the main purpose, and structured logically: purpose, detection details, output, and usage guidance. Every sentence adds value with no redundancy or filler.

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?

Given the tool's simplicity (one parameter), the absence of an output schema, and no annotations, the description covers the key aspects: what it does, what it detects, what it returns, and when to use it. It omits only finer details like error behavior or the exact structure of recommendations, but it remains sufficiently complete for an agent to use it effectively.

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?

The schema covers the sole 'url' parameter 100% with its own description and format. The tool description adds context by framing the URL as a website to fingerprint, but it does not add new constraints (e.g., public accessibility) beyond what the schema already states, so the baseline score of 3 is appropriate.

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?

The description uses a specific verb ('Fingerprint') and resource ('a URL'), clearly distinguishing it from sibling tools like create_target or get_target. It also explains the outcome ('get test recommendations') and lists specific detection capabilities, leaving no ambiguity about the tool's purpose.

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?

The description explicitly states when to use the tool: 'Use this before create_target'. This serves as clear usage guidance and an alternative, directly linking to a sibling tool and clarifying the intended workflow.

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