list_products
List FEODE's 7 product/service lines (id, name, category).
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
List FEODE's 7 product/service lines (id, name, category).
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
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 readOnlyHint=true, assuring safe read-only operation. The description adds behavioral context: returns exactly 7 lines with specific fields. No mention of performance or auth, but the safety profile is clear from annotations.
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 a single, concise sentence that conveys all necessary information without filler. Every word adds value.
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 simple list tool with no parameters and annotations providing safety, the description is complete. It specifies the return fields (id, name, category) even without an output schema, and the fixed number 7 sets clear expectations.
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?
No parameters exist, and schema description coverage is 100% (empty schema). Per guidelines, 0 params baseline is 4. The description adds no parameter info because none exist, so score remains 4.
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 'List' and the resource 'FEODE's 7 product/service lines' with specific fields (id, name, category). This distinguishes it from sibling tools like 'get_product_specs' which likely provide details for one product, and 'search_capabilities' which involves searching.
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 use for obtaining an overview of all product lines but provides no explicit guidance on when to use vs alternatives. It does not exclude usage for filtering or detailed specs, leaving some ambiguity.
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.
Tools are mostly distinct, but there is potential confusion between get_product_specs (product lines) and get_drill_pipe_specs (drill pipe items), as well as between list_drill_pipe and search_drill_pipe. However, descriptions clarify these differences.
All tool names follow a consistent verb_noun pattern in snake_case (get_, list_, search_, submit_), making it predictable for agents.
12 tools cover two main domains (FEODE company and drill string reference) without excess or deficiency, providing a well-scoped set.
The tool surface covers key operations for both domains: company info, product/service lifecycle, and drill string reference. Minor gaps like lack of company news or additional equipment categories, but core workflows are supported.