List all vendors tracked by EOSL.ai with family counts and vendor page URLs. Read-only, no parameters. Use this first to check whether a vendor is covered at all; for specific models use search_models, for a part number use lookup_part.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden. It states 'Read-only, no parameters,' which discloses the safety and input behavior. It also describes the output contents (family counts and URLs), but does not mention any potential return size or edge cases. Since the tool is simple, this is adequate but not exhaustive.
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 three sentences, each informative: purpose, behavior/parameters, and usage guidance. No filler or repetition. It is well-structured and front-loaded with the primary purpose.
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?
Despite having no annotations and no output schema, the description covers the essential aspects for a zero-parameter read-only list tool: what it does, what it returns, its safety, and when to use it versus alternatives. This is complete for the tool's simplicity.
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 0 parameters, so the schema already covers everything. The description explicitly states 'no parameters,' which confirms the empty schema. The baseline for 0 parameters is 4, and the description adds no additional parameter semantics because there are none to explain.
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 tool's function: 'List all vendors tracked by EOSL.ai with family counts and vendor page URLs.' It uses a specific verb ('List') and resource ('vendors'), and explicitly distinguishes from siblings by saying to use search_models for specific models and lookup_part for part numbers.
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 gives explicit when-to-use guidance: 'Use this first to check whether a vendor is covered at all.' It also names alternatives: 'for specific models use search_models, for a part number use lookup_part,' which clearly indicates when not to use this tool.
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.
Each tool serves a distinct purpose: bulk_check for batch part lookups, lookup_part for single parts, search_models for discovery by name, get_family for full family details, and list_vendors for vendor enumeration. No two tools overlap in their primary use case, and cross-references in descriptions further clarify boundaries.
Four of five tools follow a clear verb_noun pattern (get_family, list_vendors, lookup_part, search_models). bulk_check deviates slightly as a compound modifier + noun, but all names are lowercase snake_case and semantically intuitive, making the set predictable overall.
Five tools is ideal for a focused read-only database. The set covers discovery, single lookup, batch lookup, and deep record retrieval without unnecessary redundancy or bloat.
The tool surface fully covers the domain of a hardware EOL database: list_vendors confirms coverage, search_models finds families, lookup_part and bulk_check handle part lookups, and get_family provides comprehensive lifecycle data. No obvious operations are missing for the stated read-only purpose.