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

With no annotations, the description carries the full behavioral transparency burden, and it does this well. It discloses exactly what the tool returns (evidence to preserve, what to avoid, attorney-review questions, urgency indicator), and it is unusually explicit about what it will not do: no legal advice, no liability/fault assessment, no claim evaluation, no compensation guarantee, no attorney-client relationship. This gives the agent a clear model of the tool's boundaries and limitations.

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 longer than average but front-loads the core function immediately before moving into necessary legal disclaimers. Every sentence adds value: the first sentence defines the tool, the middle clarifies the output components, and the closing sentences set expectations and limitations. The repetition of 'educational' and the long disclaimer list could be tightened slightly, but it is still well structured and not padded.

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 adequately explains what the tool returns and its educational boundaries. It covers the main inputs at a high level and the output components explicitly. Given the 14 schematized parameters, the absence of sibling tools, and the legal context, the description gives an agent enough context to select and use the tool appropriately. A slightly more concrete description of the checklist format or urgency indicator behavior would make it fully complete.

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 already documents all 14 parameters with example values and 100% coverage, so the baseline is 3. The description broadly summarizes the input categories ('how it happened, who was injured, when/where, dog-owner and insurance situation, injuries and medical care, and what evidence exists'), but it does not add detail beyond the schema. This is acceptable because the schema is already rich enough for an agent to invoke parameters correctly.

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 opens with a clear noun phrase 'California Dog Bite Evidence Checklist' and then states that, given a plain-language description of the incident, it returns a personalized educational checklist. The verb is specific ('returns'), the resource is explicit (a checklist), and the scope—California dog bites/animal attacks—is unambiguous. Even without sibling tools, the purpose is fully distinguishable from any general legal or medical tool.

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 frames when this tool is appropriate: when a user needs educational evidence-preservation support for a California dog bite or animal attack. It also explicitly states when it should not be relied upon—it does not provide legal advice, assess liability, estimate case value, predict outcomes, or create an attorney-client relationship. It could have been even more direct with a phrase like 'Use when the user wants evidence-preservation guidance rather than legal analysis,' but the intended usage is well implied.

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