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

With no annotations provided, the description carries the full transparency burden. It does disclose one concrete behavioral trait: query strings and fragments are dropped from the returned result. But it does not explain behavior for the other input parameters (e.g., that JSON text is 'discarded after the check') and says nothing about invalid URLs, required HTTPS, or whether any state changes occur, leaving transparency partial.

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 text is very brief and front-loaded, with the primary behavior stated in the first sentence and an essential normalization rule in the second. There is no wasted wording. However, given the schema's four parameters and the important sibling-tool context, the two-sentence length feels slightly underspecified for the actual tool surface.

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?

The description is only complete for a URL-only tool; it fails to address three of the four schema parameters and does not explain how they relate to URL normalization. Since there is no output schema and no annotations, the description is the only source of context, and it is inadequate for correct invocation beyond a plain URL input.

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 100%, so the baseline is 3. The description adds useful meaning for the url parameter by defining the normalized output and the dropping rule, but it adds no semantic value for host, json, or zone, and does not clarify why they are accepted alongside a URL. It neither raises nor lowers the score from the schema-driven baseline.

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 ('Return') and names the resource (URL) and the expected outputs (origin, host, path) plus the transformation (query/fragment dropped), making the core purpose clear. However, it never explains what the host, json, and zone input parameters are for, so the stated purpose does not fully align with the 4-parameter schema and the tool's actual scope remains ambiguous.

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 gives no when-to-use guidance or explicit comparison to sibling tools like validate-json, inspect-robots, or utc-time. The only implicit usage is 'normalize a URL,' which is not enough for an agent to confidently decide between this and its siblings, especially because the schema contains json and zone parameters that overlap with other tool names.

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