Get expert reviews
get_reviewsPublic reviews for an approved expert. Reviewer emails are not included.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No | ||
| expertId | Yes |
get_reviewsPublic reviews for an approved expert. Reviewer emails are not included.
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No | ||
| expertId | Yes |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnly, idempotent, non-destructive, and closed-world, so the safety profile is covered. The description adds genuinely useful behavioral context (results are public; reviewer emails are redacted), but says nothing about ordering, pagination behavior for the limit cap, or what happens for a non-approved expert.
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 short, front-loaded sentences with no filler; the privacy caveat earns its place. The first sentence is a fragment rather than a complete statement of action, which is the only structural weakness.
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 simple two-parameter read tool with no output schema, an agent still needs to know the shape of a review, the ordering, and the pagination behavior — none of which are described. The redaction note is helpful but not sufficient on its own.
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 0% for two parameters, so the description must compensate and largely does not. 'For an approved expert' weakly implies expertId, but the limit parameter (max 20, min 1) and any default page size are never mentioned in either place.
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 names the resource ('reviews') and constrains it to a public, approved-expert scope, so an agent can tell this apart from siblings like get_expert or get_rate_coach_suggestion. It lacks an explicit retrieval verb and never mentions the required expertId, but the purpose is unambiguous.
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?
There is no when-to-use guidance, no mention of prerequisites (e.g., getting an expertId from search_experts), and no alternatives named. The only hint is the qualifier 'approved expert', which implies a constraint but is never stated as a condition.
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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