About the designer
about_designerWho draws these plans, what plan sets come as, study sets, and how to ask for changes.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
about_designerWho draws these plans, what plan sets come as, study sets, and how to ask for changes.
| 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 declare readOnlyHint=true and openWorldHint=false, so the agent knows this is a safe, self-contained read. The description adds that the content spans designer identity, plan-set formats, study sets, and change-request process, but it does not say how that content is returned or how exhaustive it is, leaving the agent to guess at the shape of the answer.
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?
A single short sentence with the main topic front-loaded and no filler. It is efficient, though the fragmentary list style makes some items ('study sets') opaque rather than informative.
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 no-parameter informational tool with no output schema, the definition is roughly adequate but never pins down what a caller actually receives or how the listed topics map to answers. Undefined domain terms like 'plan sets' and 'study sets' would benefit from a brief gloss.
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 takes zero parameters, so there is no parameter semantics to document and the baseline of 4 applies. The description correctly implies the tool is parameterless and topic-driven rather than query-driven.
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 enumerates topics ('who draws these plans', 'what plan sets come as', 'study sets', 'how to ask for changes') which signals an informational/FAQ tool, but there is no verb and no single stated purpose, so the agent must infer that this returns reference content rather than plan data. It is distinguishable from siblings like search_plans and get_plan only by implication, not by an explicit contrast.
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?
There is no when-to-use or when-not-to-use guidance and no named alternative. The phrase 'how to ask for changes' hints at a process question, but nothing tells the agent to prefer this over buying_help or get_plan when a user asks a designer-related question.
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.