list_work
The studio's published projects, optionally filtered by kind (brands, events, businesses) or a word (e.g. 'eyewear', 'jewellery', 'fashion week').
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| kind | No | ||
| query | No |
The studio's published projects, optionally filtered by kind (brands, events, businesses) or a word (e.g. 'eyewear', 'jewellery', 'fashion week').
| Name | Required | Description | Default |
|---|---|---|---|
| kind | No | ||
| query | No |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are supplied, so the description carries the full burden; it does add one real behavioral fact — only 'published' projects are returned, which is not expressed anywhere in the schema. It stays silent on ordering, pagination, and result volume, which for a listing tool with zero annotation coverage are meaningful gaps.
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 front-loaded sentence with the resource first and the filters after; every clause carries information and there is no filler.
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 two-parameter read tool this is close to sufficient, and the filter semantics are covered. With neither annotations nor an output schema, however, the agent learns nothing about the shape or size of the returned project list, which the description could cheaply have supplied.
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 must compensate; it does so partly by glossing the kind enum and, more valuably, giving concrete free-text examples for 'query' ('eyewear', 'jewellery', 'fashion week'). It never states whether kind and query combine as AND, nor how matching behaves, leaving the interaction of the two filters undefined.
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 names a specific resource ('the studio's published projects') and its filter axes, so an agent can tell it retrieves a portfolio listing. It does not explicitly distinguish itself from the sibling list_services, which an agent must infer from 'projects' vs. services.
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 word 'optionally' makes clear both filters are discretionary and that the unfiltered call is valid, which is useful invocation guidance. However, there is no statement of when to reach for this versus list_services or when a query word is preferable to a kind filter.
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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