get_who_is_walnai
Gets company profile information explaining who Walnai is, including legal structure, ownership, management, team background, and company experience.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Gets company profile information explaining who Walnai is, including legal structure, ownership, management, team background, and company experience.
| 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 discloses what information will be returned by listing specific categories (legal structure, ownership, management, team background, company experience). This is helpful and gives the agent a clear expectation. It does not mention side effects or limitations, but for a read-only content retrieval tool this is sufficient.
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 sentence that is front-loaded with the primary action and resource. It lists several specific content areas without being verbose. Every word earns its place—no filler 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 the tool has no parameters and no output schema, the description effectively communicates the scope of information returned. It is complete enough for an agent to decide when to use it and what to expect. A slight gap is the lack of explicit statement about return format or read-only nature, but the provided content list is adequate for this simple tool.
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 coverage is 100% (vacuously). According to the rubric, the baseline for 0 params is 4. The description adds no parameter-specific meaning because there are none to describe. This score appropriately reflects the simplicity.
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 a specific action ('Gets company profile information') and a specific resource ('who Walnai is'), then lists concrete content areas (legal structure, ownership, management, team background, company experience). This distinguishes it from sibling tools like get_about_info by focusing on corporate identity details rather than general 'about' content.
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?
Usage is implied: if you need to understand who Walnai is as a company, this is the tool. However, there is no explicit guidance on when to prefer this over sibling tools like get_about_info or get_mcp_server_provider_info, nor are any exclusions or alternative scenarios mentioned. The distinction from get_about_info is unclear without additional context.
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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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.