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Crawlora MCP

rover_trainer_profile

Read-only

Rover dog trainer profile detail: name, photo, headline, experience and availability details, training methodology, rating, review count, repeat-client count, years of training, skill/behavior tags, and education credentials.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
SlugYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataYesThe tool result payload (shape varies per tool; see each tool's docs resource).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and openWorldHint=true, so safety and open-world behavior are covered. The description adds the field inventory (ratings, repeat-client count, methodology, credentials), which is useful context, but says nothing about the slug lookup requirement or response shape beyond the field list.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

A single front-loaded sentence that names the resource first and then lists contents; no wasted preamble. It is dense but well-structured for a detail endpoint.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

An output schema exists, so the description is not obliged to explain return values — yet it enumerates fields anyway, which is mildly redundant. The real gap is the undocumented Slug input, which leaves the agent without guidance on how to obtain the identifier needed to call the tool.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0% and the single required parameter 'Slug' is never mentioned in the description — no format, source, or example is given. With one undocumented input, the description fails to compensate for the schema gap, and the field list it does provide describes outputs rather than the input.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb+resource ('Rover dog trainer profile detail') and enumerates the profile's contents, making it clear this fetches a single trainer record. It implicitly distinguishes itself from rover_sitter_profile by the trainer/sitter noun, though it never names the sibling explicitly.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description offers no when-to-use guidance, no prerequisites, and no mention of alternatives such as rover_trainer_search (to find trainers) or rover_sitter_profile. Usage is only inferable from the 'profile detail' framing.

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

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