Organize user-supplied public review excerpts into transparent positive, risk, owner-response, and corrective-action signals. The tool does not fetch reviews itself and does not adjudicate any claim.
| Name | Required | Description | Default |
|---|---|---|---|
| excerpts | Yes | One to fifty user-supplied public review excerpts. | |
| review_count | No | Optional public review count supplied by the user. | |
| overall_rating | No | Optional public overall rating supplied by the user. |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description fully carries the burden. It discloses that the tool does not fetch reviews itself and does not adjudicate claims, indicating it is a pure organizer with no external data retrieval or decision-making. This transparency is adequate for a non-destructive, data-processing tool, though it does not mention side effects or state changes (which are likely none).
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 with no wasted words. It front-loads the primary action and output, then clarifies limitations in the second sentence. Every phrase contributes to understanding the tool's role and boundaries.
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 tool with 3 parameters, no output schema, and a well-defined scope, the description is complete. It explains the input source, the transformation, and what the tool does not do. Given the tool's simplicity, no additional context is necessary.
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 coverage is 100%, providing baseline 3. The description adds meaning by specifying that inputs are 'user-supplied' and that the output is organized into 'transparent positive, risk, owner-response, and corrective-action signals,' which clarifies the purpose and output categories beyond the raw schema. This adds value without duplicating schema details.
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 clearly states the verb (organize), the resource (user-supplied public review excerpts), and the specific output categories (positive, risk, owner-response, corrective-action signals). It distinguishes itself from siblings by clarifying it does not fetch reviews or adjudicate claims, making its scope unique.
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 implies usage when review excerpts are already available and categorization is needed. It explicitly notes the tool does not fetch reviews or adjudicate, which helps set expectations for when it should be used. However, it does not name alternative tools or provide explicit when-not scenarios beyond its non-fetch/non-adjudicate statement.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Most tools have clearly distinct roles: inspect_website gathers facts, score_website_evaluability produces a rubric score, organize_review_evidence handles review signals, compare_shortlist_candidates merges scores, and generate_paid_scope produces a brief. The only mild ambiguity is between inspect_website and score_website_evaluability, since both involve website inspection, though their outputs differ.
All tool names follow a consistent verb_noun pattern: compare, generate, inspect, organize, and score are clear actions with descriptive objects. The naming is predictable and makes the tool set easy to navigate.
Five tools is well-scoped for the server's niche buyer-readiness purpose. Each tool contributes to a focused workflow without redundancy or unnecessary sprawl.
The workflow covers website inspection, website scoring, review evidence organization, comparison, and downstream brief generation. However, compare_shortlist_candidates expects a review trust score, and no tool actually computes that score from organized review evidence, leaving a notable gap in the core shortlisting flow.