find_projects
List public projects for a writer. Results include project hub URLs and public asset summaries.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| query | No | Optional title, genre, logline, or synopsis text. | |
| writerSlug | Yes |
List public projects for a writer. Results include project hub URLs and public asset summaries.
| Name | Required | Description | Default |
|---|---|---|---|
| query | No | Optional title, genre, logline, or synopsis text. | |
| writerSlug | Yes |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint, openWorldHint, idempotentHint, and destructiveHint false, covering the safety profile. The description adds value by noting that returns include project hub URLs and public asset summaries, but it does not disclose potential limitations like pagination or error behavior. This is adequate but not rich.
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 concise and front-loaded with the core action. Every phrase earns its place, with no fluff 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's relative simplicity (2 parameters, no output schema) and existing annotations, the description covers the essential purpose and output content. It is not exhaustive, but it provides enough context for a straightforward list operation. The lack of an output schema is partially mitigated by describing result components.
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 coverage is 50% (only query has a description). The description does not explain query beyond the schema, but it indirectly clarifies writerSlug as the writer identifier via the phrase 'for a writer'. This adds some semantic context, but not enough to fully compensate for the missing schema description of writerSlug.
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 the verb 'List' and resource 'public projects for a writer', making its purpose specific. It also mentions the key result contents (project hub URLs and public asset summaries). However, it does not explicitly differentiate from sibling tools like get_project_summary or search, so it falls short of a 5.
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 guidance on when to use this tool versus alternatives. The description simply states what it does without mentioning exclusions or preferred scenarios. Sibling tool context exists but is not leveraged within the description.
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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