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

With no annotations, the description must carry the behavioural burden. It usefully discloses scan depth (17 patterns, 65 signatures, 4 severity levels, named attack categories) and the fact that a network fetch occurs, but says nothing about permissions, rate limits, timeouts, or whether the fetch itself is sandboxed.

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?

Two sentences, front-loaded with the action, followed by a compact evidence-detail clause. The pattern-count enumeration is dense but earns its place by signalling scan coverage; nothing is wasted.

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 tool with no annotations and no output schema, the description should indicate the shape of the result (findings list, severity rating, clean verdict). It hints at severity levels but never states what the caller receives, leaving a meaningful gap.

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?

Only one parameter and schema description coverage is 100%, so the baseline is 4. The description adds no syntax or format detail beyond the schema's 'Raw file URL to fetch and scan'.

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?

States a specific verb pair (fetch, scan) and resource (URL), and the scope 'malicious behaviour' immediately distinguishes it from read_url (plain fetch) and audit_skill_text (text input). An agent can tell what it produces without opening the schema.

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 when-to-use or when-not guidance is given; the description never mentions the obvious alternative audit_skill_text for text payloads, nor read_url for non-scanned fetches. Usage is only inferable from the tool name and the word 'scan'.

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