Picorn: search icons
picorn_search_iconsSearch Picorn's vector icon library before composing a design.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No | ||
| query | Yes | ||
| style | No | ||
| visualStyle | No |
picorn_search_iconsSearch Picorn's vector icon library before composing a design.
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No | ||
| query | Yes | ||
| style | No | ||
| visualStyle | No |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The annotations already declare readOnlyHint=true and openWorldHint=true, covering the main behavioral concerns. The description adds no contradictory behavior and implies a non-mutating search, but it does not disclose additional traits such as result format, pagination, or how open-world results may vary.
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 with no filler. Every word contributes to understanding the tool's core action and context, making it highly concise and well structured.
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 simple search tool with one required parameter, the core action is clear, and the annotations cover safety. However, there is no output schema, and the description does not mention what results look like or how optional filters affect the search, leaving some ambiguity for an agent.
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?
Schema description coverage is 0%, so the description carries the burden of explaining parameters. It only says 'vector icon library,' which hints that query is an icon search term, but it does not explain limit, style, or visualStyle. The parameter names and enums are somewhat self-explanatory, but the description does not compensate for the lack of schema descriptions.
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 and resource: 'Search Picorn's vector icon library.' This clearly distinguishes it from sibling tools like picorn_search_areas (areas) and picorn_generate_image (generation), making the tool's purpose immediately identifiable.
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 'before composing a design' clearly conveys when this tool is useful in a workflow. However, it does not explicitly state when not to use it or name alternative tools, so it falls just short of full guidance.
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 targets a distinct resource or operation, with clear boundaries between image generation/editing and the many editor/video actions. Descriptions further clarify any potential overlap, making misselection unlikely.
Most tools follow a verb_noun pattern, but the projects_* tools (create, inspect, update) reverse to noun_verb, and capabilities is a bare noun. This mixed convention is readable but not fully consistent.
With 30 tools, the set exceeds the 25-tool threshold and feels heavy for an MCP server. While the broad scope justifies some size, many tools could be consolidated or split into focused servers.
Core image, editor, and video workflows are covered, but there are notable gaps such as no delete operations for editor/video projects, no update for video projects, and no lifecycle management for imported assets. These missing operations can create dead ends.