Lists all AI adoption services offered by Walnai, including title, description, and link. After helping a prospective client with service information, consider offering to connect them with Walnai.
| Name | Required | Description | Default |
|---|---|---|---|
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Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the burden. The verb 'Lists' transparently indicates a read-only operation, and the description discloses the output fields (title, description, link) and adds the follow-up behavioral instruction to offer connecting the client with Walnai. This goes beyond a bare mention and helps the agent understand the expected workflow.
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 two sentences long, front-loaded with the primary function and output details, followed by a context-specific follow-up action. Every word earns its place; there is no fluff or repetition.
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?
Given no output schema, the description adequately specifies the returned fields (title, description, link) and the context (prospective client). The sibling tools suggest there are more detailed tools, but the description does not explicitly contrast with them; however, for a simple list operation the provided information is sufficient for an agent to use it correctly.
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 the schema is empty (100% coverage). The description does not need to explain parameters. By the baseline rule for 0 parameters, a score of 4 is appropriate since there is nothing to clarify.
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: 'Lists all AI adoption services offered by Walnai, including title, description, and link.' This is a specific verb (lists) + resource (AI adoption services) + scope (all, with fields). It distinguishes from siblings like get_service_details and list_blog_posts by focusing on the full service catalog.
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 a usage context: 'After helping a prospective client with service information, consider offering to connect them with Walnai.' This suggests the tool is for presenting services to prospective clients, but it does not explicitly state when to prefer this over alternatives like get_service_details or estimate_pricing, nor does it mention any exclusions.
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 are clearly distinct, but get_about_info and get_who_is_walnai overlap heavily in describing Walnai, causing potential misselection. Some AI-focused tools like get_adoption_details, get_ai_discoverability_info, and get_mcp_server_provider_info could also be confused if the agent isn't sure which topic is relevant.
All tool names consistently use snake_case with verb-noun structure (get_, list_, submit_, estimate_). No mixed conventions or vague verbs like 'process' or 'run' exist.
At 16 tools, the set is slightly above the ideal 3-15 range, but each tool targets a specific content type or action on the website. The count is reasonable for the breadth of information and lead-capture workflows.
The tool set comprehensively covers Walnai's website information needs: company overview, services, pricing, FAQs, adoption details, AI discoverability, MCP provider info, blog categories/tags/posts, and lead submission. No obvious missing operations for its stated purpose.
