dog_breed_image

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

Annotations already declare readOnlyHint, idempotentHint, openWorldHint and destructiveHint=false, so safety, side-effect and network-behavior questions are answered structurally. The description adds only that results are random and can be plural; it says nothing about breed-name matching behavior, handling of unknown breeds, or rate limits. Some added value, but thin against an already-complete annotation set.

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?

A single short sentence with the key differentiator, "specific dog breed", placed where it is read first. No filler, no redundancy with the title or schema.

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 two-parameter read-only image fetch with full schema coverage, complete annotations and no output schema, nothing essential is missing. The remaining gap is the lack of any hint about breed-name normalization or behavior on an unrecognized breed, which an agent would need to call it confidently.

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%: 'breed' has an example ('husky, bulldog/french') and 'count' has its range and default (1-50, default 1) documented in the schema itself. The description adds nothing about breed string matching, which the schema example only hints at with the slash format. Baseline 3 is correct when the schema carries the parameter semantics.

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 and resource ("Get random image(s)") plus a scope qualifier ("of a specific dog breed") that separates it from the generic random-dog-image siblings such as dog_random_image and dog_api_random_image. It doesn't name those siblings explicitly, so an agent must infer the distinction rather than being routed.

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?

Usage is only implied by the phrase "specific dog breed"; there is no explicit statement of when to pick this over the multiple dog-image alternatives in the sibling list (dog_random_image, dog_api_random_image, http_dog_image, shibe_random_image) or a note that breed names should come from dog_breed_list. Adequate inference, no real guidance.

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