lab_grown_grading_landscapeThe current state of who grades Lab Grown Diamonds and how: GIA, IGI, HRD Antwerp, and the FTC position. Every item carries a source and a date.
| Name | Required | Description | Default |
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Changes observed during successful MCP inspections. Dates show when Glama detected each change.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare read-only, idempotent, non-destructive behavior, so the description only needs to add value beyond that. It does so by disclosing a key behavioral trait: every returned item carries a source and a date, which sets expectations about evidence-backed content.
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 sentences communicate the topic, the included authorities, the temporal scope, and the source/date guarantee without any filler. The most important information is front-loaded.
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 parameterless, read-only informational tool, the description is complete: it states the subject, the coverage, and the provenance expectation. No additional invocation context is needed.
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?
The tool has zero parameters and 100% schema coverage, so there is nothing for the description to add about inputs. The baseline of 4 applies because the agent needs no additional parameter context to invoke the tool correctly.
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 identifies the tool's subject: the current state of who grades lab-grown diamonds, naming GIA, IGI, HRD Antwerp, and the FTC. It lacks a crisp action verb like 'summarizes' or 'reports,' but the resource and scope are unmistakable.
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 when to use this tool: whenever an agent needs current grading and regulatory context for lab-grown diamonds, with the added caveat that every item is sourced and dated. It does not explicitly distinguish this from sibling tools like search_encyclopedia or define, so usage guidance is inferred rather than stated.
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 target clearly distinct actions: searching, fetching details, looking up terms, verifying reports. The main ambiguity is between define and dutch_marquise_definition, since the latter appears to be a single encyclopedia entry surfaced as a standalone tool.
All names are snake_case and readable, but the set mixes verb-led names like search_inventory and get_product with noun-phrase names like lab_grown_price_index and dutch_marquise_definition. The pattern is not consistent enough to predict the tool name from the action alone.
Ten tools is well within the ideal range for a server that handles both diamond education and catalog shopping. Each tool contributes to a clear workflow: learn about diamonds, search inventory, fetch product details, and verify grading reports.
The tool surface covers the main user journey: research terms, search inventory, get product detail, understand grading, and verify reports. Minor gaps exist, such as only having a dedicated definition for the Dutch Marquise cut while other shapes rely on the general encyclopedia lookup.