rover_trainer_profile

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

No annotations are provided, so the description carries the burden. It discloses that the data is public and sourced from server-rendered pages, which is useful context. However, it does not disclose potential limitations such as missing fields, rate limits, or what happens when a slug is invalid. For a read-only public data fetch, the description is adequate but not rich in behavioral detail.

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 two sentences, front-loaded with the core action and resource, followed by a compact list of returned fields and a source note. Every sentence earns its place; there is no fluff or repetition of schema 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?

For a single-parameter read-only tool with no output schema, the description is quite complete: it names the input source, lists the output fields, and notes the data source. It lacks explicit error/edge-case behavior, but given the simplicity of the tool, this is a minor gap. The sibling context (rover_sitter_profile, rover_trainer_search) is enough to orient an agent.

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 schema already documents the slug parameter. The description adds value by explaining that the slug is 'the trailing path segment of a trainer search result's profile_url field', which tells the agent exactly where to obtain the value. This goes beyond the schema's generic description and provides practical guidance.

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 specific verb and resource ('Get Rover dog trainer profile') and then enumerates the exact fields returned (name, photo, headline, experience, availability, methodology, rating, review count, repeat-client count, years, skill/behavior tags, education). It also states the data source (Rover's server-rendered training profile pages), which distinguishes it from sibling tools like rover_sitter_profile and rover_trainer_search. This is a clear, specific, and differentiating definition.

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 this tool is for fetching a single trainer profile by slug, and the slug parameter is defined as coming from a trainer search result's profile_url field. It does not explicitly state when to use this over rover_sitter_profile or rover_trainer_search, but the 'trainer' vs 'sitter' distinction and the 'profile' vs 'search' distinction are evident from the names and the description's focus on trainer-specific fields. A clear exclusion or explicit alternative would push this to 5.

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