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Glama

Search Reviews Tool

search-reviews
Read-only

Searches authorized reviews by reviewer, customer, job, rating, platform, or reply status using bounded fields.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMaximum number of reviews to return.
queryNoReviewer, customer, job title, review body, or platform.
platformNoReview platform.
has_replyNoFilter by whether an owner reply exists.
rating_maxNoMaximum rating.
rating_minNoMinimum rating.
reply_statusNoReply delivery state.

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, so the safety profile is covered. The description adds value beyond annotations by disclosing that only 'authorized' reviews are searchable and that searches are restricted to 'bounded fields', which communicates scope constraints an agent should know.

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

Conciseness5/5

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

The description is a single front-loaded sentence with no filler. Every phrase contributes either the action, the resource, the searchable dimensions, or the boundary condition ('authorized', 'bounded fields').

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

Completeness4/5

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

For a read-only, filterable search tool with 100% schema coverage and safety annotations, the description is mostly complete. The main remaining ambiguity is what 'bounded fields' means exactly, but the schema's query field description fills that gap adequately.

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

Parameters3/5

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

Schema description coverage is 100%, so every parameter is already documented. The description simply echoes the filter categories without adding format, combination rules, or behavioral notes beyond the schema, so it doesn't materially improve parameter understanding.

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

Purpose5/5

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

The description uses a specific verb ('Searches') with a specific resource ('reviews') and enumerates the filter dimensions: reviewer, customer, job, rating, platform, and reply status. This clearly distinguishes search-reviews from sibling search tools like search-customers and search-jobs.

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

Usage Guidelines4/5

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

The description clearly establishes the tool's role as finding authorized reviews by multiple criteria, giving the agent the context needed to choose it over other search_* siblings. It does not explicitly state when not to use it, but the resource-specific scope makes the intended use fairly unambiguous.

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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TDQS

A3.6/5.0
Disambiguation4/5

Tool families are organized by resource and action (get/search/preview/reports), so most tools have a distinct purpose. A few near-overlaps exist—customer-service-requests vs search-service-requests and the many campaign preview/search tools—but descriptions generally clarify boundaries.

Naming Consistency4/5

The set consistently uses kebab-case with recognizable prefixes like get-, search-, preview-, and reports-, making intent predictable. A few noun-phrase tools (complaint-recall-risk, customer-service-requests, operations-parts, jobs-today) break the verb-first pattern, but they remain readable and grouped.

Tool Count2/5

45 tools is well beyond the 25+ threshold and creates a large surface for agents to navigate, even though the domain is broad. Many tools are narrow read-only variations (e.g., five preview-campaign tools, three reports-* tools), which inflates the count without adding fundamentally new capabilities.

Completeness4/5

As a read-only/insights server, the surface covers customers, jobs, quotes, invoices, leads, locations, service requests, reviews, campaigns, operations, and reporting with both search and detail access. Minor gaps exist—no get-* for campaign types or social drafts—but these align with the intentionally bounded, safe-read model.

Resources