verify_url

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

With no annotations provided, the description fully discloses key behaviors: it uses a real headless Chromium, lists all supported check steps, automatically prepends goto if missing, returns PASS/FAIL with per-step results and an HTML report, and emphasizes deterministic execution (no LLM judging). This goes far beyond a simple 'verify' statement.

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 three sentences long and extremely information-dense. It front-loads the core purpose and packs the check action list and output semantics into a compact, readable format with no irrelevant details.

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?

Despite having no output schema, the description clearly explains what the tool returns (PASS/FAIL, per-step results, HTML report path) and how it operates. It could mention potential side effects of click/fill actions or network dependencies, but the given detail is strong for a verification tool.

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 input schema describes all four parameters with 100% coverage, so the baseline is 3. The description adds operational context for the checks parameter (list of actions, prepending goto) and clarifies output behavior, but does not significantly augment the schema beyond that.

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 ('Verify') and resource ('a live URL') and elaborates on the method with a detailed list of check actions. It clearly distinguishes itself from siblings (health, verify_spec, generate_and_verify) by focusing on human-style browser-based verification of a live URL.

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 clearly implies when to use this tool: when you need to run human-style browser checks against a live URL. It does not explicitly mention alternatives or exclusions, but the context is unambiguous and sufficient for tool selection.

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