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RepuTend

list_review_triage

Read-only

Every screened review of your company with its label (disputable, genuine or candidate) and a one-line reason. Genuine negative reviews carry the recommendation respond: reply publicly (RepuTend does not draft replies). (capability: cases.read_own)

Input Schema

NameRequiredDescriptionDefault
labelNo
limitNo
beforeNo
companyNoThe company to act for, by its Trustpilot domain (for example aioseo.com), one of those list_companies shows. Needed only when your key reaches more than one company.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.4/5.0
Behavior4/5

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

With readOnlyHint=true already declaring the safety profile, the description adds genuine context: what each record carries (label plus one-line reason), that RepuTend does not draft replies, and the scope required (cases.read_own). It omits pagination and default behavior, but that is a modest gap for a read-only listing tool.

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?

Two sentences, front-loaded with what is returned, followed by the practical note about the 'respond' label. There is no padding, though cramming the capability tag and the reply caveat into the same flow makes it slightly denser than necessary.

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?

For a read-only triage listing with no output schema and no required parameters, the description covers the returned fields and one workflow implication but leaves filtering and pagination semantics unaddressed. An agent can call it without a required param, but it cannot tell how 'before' pages or what limit does, which matters for the 'every review' framing.

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 only 25%: only 'company' is documented in the schema. The description merely restates the label enum values without explaining what disputable, genuine, or candidate actually mean, and it says nothing about 'limit' (default 50, max 200) or 'before' (a cursor), leaving two parameters carrying their full weight. It therefore fails to compensate for the coverage gap.

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?

The description names a specific resource ('every screened review of your company') and the fields returned (label plus a one-line reason), which is far clearer than the bare name alone. It does not distinguish itself from the sibling list_disputable_reviews, even though the 'disputable' label overlaps that tool, so an agent could still hesitate between the two.

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

Usage Guidelines3/5

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

Usage is implied rather than stated: the mention of labels and the 'respond' recommendation suggests this is a triage overview, but there is no explicit 'use this when' clause and no exclusion pointing to list_disputable_reviews or get_case. The only actionable steer – that the 'respond' recommendation means reply publicly – is guidance for the workflow rather than for choosing the tool.

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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