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Glama

pricebook.import

Import products from the global supplier catalog into the company's own price book. Creates a company-level supplier and service catalog items. Applies default markup if specified.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
itemIdsYesArray of global catalog item IDs to import. Required.
markupPctNoDefault markup percentage to apply (e.g. 30 for 30%). Defaults to 30.
supplierIdYesGlobal supplier ID. Required.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
skippedNoItems skipped (already existed)
importedNoNumber of items imported
supplierNoCompany supplier name created/matched

TDQS

A3.7/5.0
Behavior3/5

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

Annotations indicate a write operation (readOnlyHint=false). The description adds value by specifying that it creates company-level items and applies default markup. However, it does not discuss rate limits, idempotency, or failure modes. With annotations, the bar is lowered, but the description still lacks some behavioral context.

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?

The description is two sentences, front-loaded with the main action. It is concise and well-structured, though slightly more detail could be added without harming conciseness.

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?

Given the presence of an output schema and moderate complexity, the description covers the core functionality. It explains the main behavior and touches on defaults, making it fairly complete.

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 coverage is 100%, so each parameter is described. The description adds context about the default markup but does not significantly enhance the schema descriptions for 'itemIds' or 'supplierId'. Baseline 3 is appropriate.

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 clearly states the tool imports products from the global supplier catalog into the company's price book, creating company-level supplier and catalog items. It uses a specific verb ('import') and resource, distinguishing it from sibling tools like 'pricebook.search'.

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?

The description describes the action but does not provide explicit guidance on when to use this tool versus alternatives (e.g., should it be used before search? Are there prerequisites?). The context is implied but not clearly stated.

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

A3.8/5.0
Disambiguation4/5

Most tools have distinct resource+action naming (e.g., leads.create, jobs.list), but some overlap exists in analytics tools (dashboard, detailed, financials) and workflow automations (process_lead vs google_ads_pipeline). Descriptions clarify purposes, so slight confusion is possible but limited.

Naming Consistency5/5

All tools follow a consistent `domain.action` pattern (e.g., leads.create, billing.status). No mixing of camelCase or snake_case. Even complex names like lifecycle.assess or scaling.readiness_score adhere to the convention.

Tool Count1/5

95 tools is far beyond typical well-scoped servers (3-15). While the server aims to cover an entire business management platform, this volume is overwhelming for an agent, making selection and memory difficult.

Completeness5/5

The tool surface is exceptionally comprehensive, covering formation, hiring, compliance, funding, leads, quotes, jobs, invoicing, payments, marketing, analytics, integrations, webhooks, workflows, and more. Almost no obvious gaps in the lifecycle of running a trade business.

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