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

Annotations already declare readOnlyHint, idempotentHint, openWorldHint, and destructiveHint=false, so the safety profile needs no restating. The description adds one real behavioral fact — that results span both intake and outcome datasets — but says nothing about result volume, pagination, or rate limiting even though the tool is open-world and hits a public API.

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, zero filler. The core scope statement is front-loaded and the example queries follow as an immediately usable usage cue.

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?

With 100% schema coverage and no output schema, the description carries only the burden of scope and intent, which it handles well. A brief note on the shape of what comes back (e.g., per-record intake/outcome rows) would close the remaining gap for a search 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?

Schema description coverage is 100%, with per-field descriptions covering partial vs exact matching, the 1-200 limit range, and the optional API key. The description only restates the three lookup keys already documented; it adds no matching-precedence or combination rules (e.g., what happens when name and breed are both supplied).

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 (look up), a specific resource (a specific animal at the Austin Animal Center), and the three lookup keys (animal ID, name, breed). The phrase 'across both current intake and outcome records' scopes it away from siblings like austin_outcomes_summary and austin_recent_intakes, which cover only one dataset.

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?

Gives concrete triggering questions ('what happened to animal A12345', 'is there a [breed] at Austin Animal Center') that make the intended use obvious. It does not, however, name an alternative tool or state when a different tool is preferable, so it stops short of full when/when-not guidance.

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