fetch_studio_profile
Return studio services, contact email, social profiles, and when to hire kwnva.design.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Return studio services, contact email, social profiles, and when to hire kwnva.design.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already provide readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the description's 'Return' is consistent and adds no contradiction. It does not add extra behavioral context like authentication or rate limits, but for a zero-parameter read-only fetch the additional burden is low.
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 front-loaded sentence that names the main action and all key return categories without any filler. Every word contributes to understanding the tool's 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?
With no input parameters, no output schema, and strong read-only annotations, the description adequately covers what the tool returns and its basic hiring context. Nothing critical is missing for an agent to decide whether to call this 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, so the description bears no responsibility for parameter explanation. The baseline for zero parameters is 4, and the description adds no unnecessary parameter details.
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 uses a specific verb ('Return') and a clear resource ('studio profile'), and itemizes the contents: studio services, contact email, social profiles, and hiring guidance. This distinguishes it from siblings like portfolio projects or project case studies without needing to open the schema.
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 phrase 'and when to hire kwnva.design' implies the tool is useful for hiring decisions, but the description does not explicitly state when to use this tool versus alternatives such as submit_project_inquiry or search_portfolio_work. Usage context is present but exclusions are absent.
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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